Resumo Analise Exploratório - Receita Candidatos 2022

Dataset statistics

Number of variables	55
Number of observations	166043
Missing cells	1504864
Missing cells (%)	16.5%
Duplicate rows	135
Duplicate rows (%)	0.1%
Total size in memory	390.1 MiB
Average record size in memory	2.4 KiB

Variable types

Categorical	34
Numeric	20
Unsupported	1

Alerts

`SG_UF` has constant value "RJ"	Constant
Dataset has 135 (0.1%) duplicate rows	Duplicates
`DT_PRESTACAO_CONTAS` has a high cardinality: 871 distinct values	High cardinality
`NM_UE` has a high cardinality: 92 distinct values	High cardinality
`NM_CANDIDATO` has a high cardinality: 23651 distinct values	High cardinality
`NM_DOADOR` has a high cardinality: 47664 distinct values	High cardinality
`NM_DOADOR_RFB` has a high cardinality: 43540 distinct values	High cardinality
`NM_MUNICIPIO_DOADOR` has a high cardinality: 95 distinct values	High cardinality
`NR_RECIBO_DOACAO` has a high cardinality: 93722 distinct values	High cardinality
`NR_DOCUMENTO_DOACAO` has a high cardinality: 36402 distinct values	High cardinality
`DT_RECEITA` has a high cardinality: 430 distinct values	High cardinality
`DS_RECEITA` has a high cardinality: 38701 distinct values	High cardinality
`CD_ELEICAO` is highly overall correlated with `ANO_ELEICAO` and 14 other fields	High correlation
`SQ_PRESTADOR_CONTAS` is highly overall correlated with `ANO_ELEICAO` and 20 other fields	High correlation
`NR_CNPJ_PRESTADOR_CONTA` is highly overall correlated with `ANO_ELEICAO` and 20 other fields	High correlation
`CD_CARGO` is highly overall correlated with `ANO_ELEICAO` and 15 other fields	High correlation
`SQ_CANDIDATO` is highly overall correlated with `ANO_ELEICAO` and 23 other fields	High correlation
`NR_CANDIDATO` is highly overall correlated with `NM_UE` and 10 other fields	High correlation
`NR_CPF_VICE_CANDIDATO` is highly overall correlated with `ST_TURNO` and 15 other fields	High correlation
`NR_PARTIDO` is highly overall correlated with `NM_UE` and 9 other fields	High correlation
`CD_ORIGEM_RECEITA` is highly overall correlated with `NM_UE` and 9 other fields	High correlation
`CD_ESPECIE_RECEITA` is highly overall correlated with `CD_ORIGEM_RECEITA` and 7 other fields	High correlation
`CD_CNAE_DOADOR` is highly overall correlated with `DS_ORIGEM_RECEITA` and 1 other fields	High correlation
`NR_CPF_CNPJ_DOADOR` is highly overall correlated with `ANO_ELEICAO` and 24 other fields	High correlation
`CD_MUNICIPIO_DOADOR` is highly overall correlated with `CD_ESFERA_PARTIDARIA_DOADOR` and 3 other fields	High correlation
`SQ_CANDIDATO_DOADOR` is highly overall correlated with `ANO_ELEICAO` and 12 other fields	High correlation
`NR_CANDIDATO_DOADOR` is highly overall correlated with `NR_CANDIDATO` and 16 other fields	High correlation
`CD_CARGO_CANDIDATO_DOADOR` is highly overall correlated with `ANO_ELEICAO` and 26 other fields	High correlation
`NR_PARTIDO_DOADOR` is highly overall correlated with `NM_UE` and 10 other fields	High correlation
`SQ_RECEITA` is highly overall correlated with `ANO_ELEICAO` and 20 other fields	High correlation
`VR_RECEITA` is highly overall correlated with `NM_MUNICIPIO_DOADOR` and 1 other fields	High correlation
`ANO_ELEICAO` is highly overall correlated with `CD_ELEICAO` and 20 other fields	High correlation
`CD_TIPO_ELEICAO` is highly overall correlated with `NM_TIPO_ELEICAO` and 7 other fields	High correlation
`NM_TIPO_ELEICAO` is highly overall correlated with `CD_TIPO_ELEICAO` and 7 other fields	High correlation
`DS_ELEICAO` is highly overall correlated with `ANO_ELEICAO` and 20 other fields	High correlation
`DT_ELEICAO` is highly overall correlated with `ANO_ELEICAO` and 20 other fields	High correlation
`ST_TURNO` is highly overall correlated with `NR_CPF_VICE_CANDIDATO`	High correlation
`NM_UE` is highly overall correlated with `ANO_ELEICAO` and 27 other fields	High correlation
`DS_CARGO` is highly overall correlated with `ANO_ELEICAO` and 15 other fields	High correlation
`SG_PARTIDO` is highly overall correlated with `ANO_ELEICAO` and 18 other fields	High correlation
`NM_PARTIDO` is highly overall correlated with `ANO_ELEICAO` and 21 other fields	High correlation
`CD_FONTE_RECEITA` is highly overall correlated with `DS_FONTE_RECEITA` and 7 other fields	High correlation
`DS_FONTE_RECEITA` is highly overall correlated with `CD_FONTE_RECEITA` and 7 other fields	High correlation
`DS_ORIGEM_RECEITA` is highly overall correlated with `CD_FONTE_RECEITA` and 13 other fields	High correlation
`CD_NATUREZA_RECEITA` is highly overall correlated with `CD_ORIGEM_RECEITA` and 8 other fields	High correlation
`DS_NATUREZA_RECEITA` is highly overall correlated with `CD_ORIGEM_RECEITA` and 8 other fields	High correlation
`DS_ESPECIE_RECEITA` is highly overall correlated with `ANO_ELEICAO` and 9 other fields	High correlation
`DS_CNAE_DOADOR` is highly overall correlated with `DS_ORIGEM_RECEITA` and 1 other fields	High correlation
`CD_ESFERA_PARTIDARIA_DOADOR` is highly overall correlated with `ANO_ELEICAO` and 19 other fields	High correlation
`DS_ESFERA_PARTIDARIA_DOADOR` is highly overall correlated with `ANO_ELEICAO` and 19 other fields	High correlation
`SG_UF_DOADOR` is highly overall correlated with `CD_ESFERA_PARTIDARIA_DOADOR` and 6 other fields	High correlation
`NM_MUNICIPIO_DOADOR` is highly overall correlated with `NM_UE` and 23 other fields	High correlation
`DS_CARGO_CANDIDATO_DOADOR` is highly overall correlated with `ANO_ELEICAO` and 26 other fields	High correlation
`SG_PARTIDO_DOADOR` is highly overall correlated with `ANO_ELEICAO` and 24 other fields	High correlation
`NM_PARTIDO_DOADOR` is highly overall correlated with `ANO_ELEICAO` and 26 other fields	High correlation
`NR_CPF_CANDIDATO` is highly overall correlated with `NR_CPF_VICE_CANDIDATO`	High correlation
`NR_CPF_VICE_CANDIDATO` has 154995 (93.3%) missing values	Missing
`CD_CNAE_DOADOR` has 65274 (39.3%) missing values	Missing
`DS_CNAE_DOADOR` has 65274 (39.3%) missing values	Missing
`CD_ESFERA_PARTIDARIA_DOADOR` has 129053 (77.7%) missing values	Missing
`DS_ESFERA_PARTIDARIA_DOADOR` has 129053 (77.7%) missing values	Missing
`SG_UF_DOADOR` has 50163 (30.2%) missing values	Missing
`CD_MUNICIPIO_DOADOR` has 89465 (53.9%) missing values	Missing
`NM_MUNICIPIO_DOADOR` has 89465 (53.9%) missing values	Missing
`SQ_CANDIDATO_DOADOR` has 88401 (53.2%) missing values	Missing
`NR_CANDIDATO_DOADOR` has 87152 (52.5%) missing values	Missing
`CD_CARGO_CANDIDATO_DOADOR` has 87152 (52.5%) missing values	Missing
`DS_CARGO_CANDIDATO_DOADOR` has 87152 (52.5%) missing values	Missing
`NR_PARTIDO_DOADOR` has 50202 (30.2%) missing values	Missing
`SG_PARTIDO_DOADOR` has 50202 (30.2%) missing values	Missing
`NM_PARTIDO_DOADOR` has 50202 (30.2%) missing values	Missing
`NR_RECIBO_DOACAO` has 64522 (38.9%) missing values	Missing
`NR_DOCUMENTO_DOACAO` has 104954 (63.2%) missing values	Missing
`DS_RECEITA` has 61517 (37.0%) missing values	Missing
`CD_MUNICIPIO_DOADOR` is highly skewed (γ1 = -26.43915831)	Skewed
`SQ_CANDIDATO_DOADOR` is highly skewed (γ1 = 97.13432083)	Skewed
`VR_RECEITA` is highly skewed (γ1 = 49.42185627)	Skewed
`NR_RECIBO_DOACAO` is uniformly distributed	Uniform
`SG_UE` is an unsupported type, check if it needs cleaning or further analysis	Unsupported

Reproduction

Analysis started	2022-12-14 14:35:39.804957
Analysis finished	2022-12-14 14:38:17.751724
Duration	2 minutes and 37.95 seconds
Software version	pandas-profiling vv3.5.0
Download configuration	config.json

ANO_ELEICAO
Categorical

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	9.7 MiB

2020	112455
2018	33804
2022	19784

Length

Max length	4
Median length	4
Mean length	4
Min length	4

Characters and Unicode

Total characters	664172
Distinct characters	4
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2022
2nd row	2022
3rd row	2022
4th row	2022
5th row	2022

Common Values

Value	Count	Frequency (%)
2020	112455	67.7%
2018	33804	20.4%
2022	19784	11.9%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
2020	112455	67.7%
2018	33804	20.4%
2022	19784	11.9%

Most occurring characters

Value	Count	Frequency (%)
2	318066	47.9%
0	278498	41.9%
1	33804	5.1%
8	33804	5.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	664172	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
2	318066	47.9%
0	278498	41.9%
1	33804	5.1%
8	33804	5.1%

Most occurring scripts

Value	Count	Frequency (%)
Common	664172	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
2	318066	47.9%
0	278498	41.9%
1	33804	5.1%
8	33804	5.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	664172	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
2	318066	47.9%
0	278498	41.9%
1	33804	5.1%
8	33804	5.1%

CD_TIPO_ELEICAO
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	9.2 MiB

2	165651
1	392

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	166043
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2
2nd row	2
3rd row	2
4th row	2
5th row	2

Common Values

Value	Count	Frequency (%)
2	165651	99.8%
1	392	0.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
2	165651	99.8%
1	392	0.2%

Most occurring characters

Value	Count	Frequency (%)
2	165651	99.8%
1	392	0.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	166043	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
2	165651	99.8%
1	392	0.2%

Most occurring scripts

Value	Count	Frequency (%)
Common	166043	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
2	165651	99.8%
1	392	0.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	166043	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
2	165651	99.8%
1	392	0.2%

NM_TIPO_ELEICAO
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	14.2 MiB

ORDINÁRIA	165651
SUPLEMENTAR	392

Length

Max length	11
Median length	9
Mean length	9.0047217
Min length	9

Characters and Unicode

Total characters	1495171
Distinct characters	14
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	ORDINÁRIA
2nd row	ORDINÁRIA
3rd row	ORDINÁRIA
4th row	ORDINÁRIA
5th row	ORDINÁRIA

Common Values

Value	Count	Frequency (%)
ORDINÁRIA	165651	99.8%
SUPLEMENTAR	392	0.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
ordinária	165651	99.8%
suplementar	392	0.2%

Most occurring characters

Value	Count	Frequency (%)
R	331694	22.2%
I	331302	22.2%
N	166043	11.1%
A	166043	11.1%
O	165651	11.1%
D	165651	11.1%
Á	165651	11.1%
E	784	0.1%
S	392	< 0.1%
U	392	< 0.1%
Other values (4)	1568	0.1%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	1495171	100.0%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
R	331694	22.2%
I	331302	22.2%
N	166043	11.1%
A	166043	11.1%
O	165651	11.1%
D	165651	11.1%
Á	165651	11.1%
E	784	0.1%
S	392	< 0.1%
U	392	< 0.1%
Other values (4)	1568	0.1%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1495171	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
R	331694	22.2%
I	331302	22.2%
N	166043	11.1%
A	166043	11.1%
O	165651	11.1%
D	165651	11.1%
Á	165651	11.1%
E	784	0.1%
S	392	< 0.1%
U	392	< 0.1%
Other values (4)	1568	0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1329520	88.9%
None	165651	11.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
R	331694	24.9%
I	331302	24.9%
N	166043	12.5%
A	166043	12.5%
O	165651	12.5%
D	165651	12.5%
E	784	0.1%
S	392	< 0.1%
U	392	< 0.1%
P	392	< 0.1%
Other values (3)	1176	0.1%

None

Value	Count	Frequency (%)
Á	165651	100.0%

CD_ELEICAO
Real number (ℝ)

Distinct	10
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	414.22376

Minimum	297
Maximum	551
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.4 MiB

Quantile statistics

Minimum	297
5-th percentile	297
Q1	426
median	426
Q3	426
95-th percentile	546
Maximum	551
Range	254
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	70.583869
Coefficient of variation (CV)	0.17040034
Kurtosis	0.007695057
Mean	414.22376
Median Absolute Deviation (MAD)	0
Skewness	-0.14736964
Sum	68778955
Variance	4982.0825
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
426	112063	67.5%
297	33804	20.4%
546	19784	11.9%
508	112	0.1%
459	62	< 0.1%
551	61	< 0.1%
506	49	< 0.1%
507	44	< 0.1%
532	39	< 0.1%
458	25	< 0.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
297	33804	20.4%
426	112063	67.5%
458	25	< 0.1%
459	62	< 0.1%
506	49	< 0.1%
507	44	< 0.1%
508	112	0.1%
532	39	< 0.1%
546	19784	11.9%
551	61	< 0.1%

Value	Count	Frequency (%)
551	61	< 0.1%
546	19784	11.9%
532	39	< 0.1%
508	112	0.1%
507	44	< 0.1%
506	49	< 0.1%
459	62	< 0.1%
458	25	< 0.1%
426	112063	67.5%
297	33804	20.4%

DS_ELEICAO
Categorical

Distinct	8
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	16.9 MiB

Eleições Municipais 2020	112063
Eleições Gerais Estaduais 2018	33804
Eleições Gerais Estaduais 2022	19784
RJ - Suplementar de Silva Jardim	112
RJ - Suplementar de Sta. Ma. Madalena	111
Other values (3)	169

Length

Max length	37
Median length	24
Mean length	25.954957
Min length	24

Characters and Unicode

Total characters	4309639
Distinct characters	32
Distinct categories	6 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Eleições Gerais Estaduais 2022
2nd row	Eleições Gerais Estaduais 2022
3rd row	Eleições Gerais Estaduais 2022
4th row	Eleições Gerais Estaduais 2022
5th row	Eleições Gerais Estaduais 2022

Common Values

Value	Count	Frequency (%)
Eleições Municipais 2020	112063	67.5%
Eleições Gerais Estaduais 2018	33804	20.4%
Eleições Gerais Estaduais 2022	19784	11.9%
RJ - Suplementar de Silva Jardim	112	0.1%
RJ - Suplementar de Sta. Ma. Madalena	111	0.1%
RJ - Suplementar de Itatiaia	105	0.1%
RJ - Suplementar de Carapebus	39	< 0.1%
RJ - Suplementar de Itatiaia	25	< 0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
eleições	165651	30.0%
municipais	112063	20.3%
2020	112063	20.3%
gerais	53588	9.7%
estaduais	53588	9.7%
2018	33804	6.1%
2022	19784	3.6%
de	392	0.1%
suplementar	392	0.1%
	392	0.1%
Other values (8)	1118	0.2%

Most occurring characters

Value	Count	Frequency (%)
i	609500	14.1%
s	438517	10.2%
	386817	9.0%
e	386216	9.0%
2	317282	7.4%
0	277714	6.4%
a	274466	6.4%
E	219239	5.1%
l	166266	3.9%
u	166082	3.9%
Other values (22)	1067540	24.8%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	2872812	66.7%
Decimal Number	662604	15.4%
Space Separator	386817	9.0%
Uppercase Letter	386792	9.0%
Dash Punctuation	392	< 0.1%
Other Punctuation	222	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
i	609500	21.2%
s	438517	15.3%
e	386216	13.4%
a	274466	9.6%
l	166266	5.8%
u	166082	5.8%
õ	165651	5.8%
ç	165651	5.8%
n	112566	3.9%
p	112494	3.9%
Other values (7)	275403	9.6%

Uppercase Letter

Value	Count	Frequency (%)
E	219239	56.7%
M	112285	29.0%
G	53588	13.9%
S	615	0.2%
J	504	0.1%
R	392	0.1%
I	130	< 0.1%
C	39	< 0.1%

Decimal Number

Value	Count	Frequency (%)
2	317282	47.9%
0	277714	41.9%
1	33804	5.1%
8	33804	5.1%

Space Separator

Value	Count	Frequency (%)
	386817	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	392	100.0%

Other Punctuation

Value	Count	Frequency (%)
.	222	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	3259604	75.6%
Common	1050035	24.4%

Most frequent character per script

Latin

Value	Count	Frequency (%)
i	609500	18.7%
s	438517	13.5%
e	386216	11.8%
a	274466	8.4%
E	219239	6.7%
l	166266	5.1%
u	166082	5.1%
õ	165651	5.1%
ç	165651	5.1%
n	112566	3.5%
Other values (15)	555450	17.0%

Common

Value	Count	Frequency (%)
	386817	36.8%
2	317282	30.2%
0	277714	26.4%
1	33804	3.2%
8	33804	3.2%
-	392	< 0.1%
.	222	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3978337	92.3%
None	331302	7.7%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
i	609500	15.3%
s	438517	11.0%
	386817	9.7%
e	386216	9.7%
2	317282	8.0%
0	277714	7.0%
a	274466	6.9%
E	219239	5.5%
l	166266	4.2%
u	166082	4.2%
Other values (20)	736238	18.5%

None

Value	Count	Frequency (%)
õ	165651	50.0%
ç	165651	50.0%

DT_ELEICAO
Categorical

Distinct	7
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	10.6 MiB

15/11/2020	112063
07/10/2018	33804
02/10/2022	19784
12/09/2021	205
11/04/2021	87
Other values (2)	100

Length

Max length	10
Median length	10
Mean length	10
Min length	10

Characters and Unicode

Total characters	1660430
Distinct characters	10
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	02/10/2022
2nd row	02/10/2022
3rd row	02/10/2022
4th row	02/10/2022
5th row	02/10/2022

Common Values

Value	Count	Frequency (%)
15/11/2020	112063	67.5%
07/10/2018	33804	20.4%
02/10/2022	19784	11.9%
12/09/2021	205	0.1%
11/04/2021	87	0.1%
13/03/2022	61	< 0.1%
07/11/2021	39	< 0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
15/11/2020	112063	67.5%
07/10/2018	33804	20.4%
02/10/2022	19784	11.9%
12/09/2021	205	0.1%
11/04/2021	87	0.1%
13/03/2022	61	< 0.1%
07/11/2021	39	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
1	424430	25.6%
0	385674	23.2%
2	338116	20.4%
/	332086	20.0%
5	112063	6.7%
7	33843	2.0%
8	33804	2.0%
9	205	< 0.1%
3	122	< 0.1%
4	87	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1328344	80.0%
Other Punctuation	332086	20.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	424430	32.0%
0	385674	29.0%
2	338116	25.5%
5	112063	8.4%
7	33843	2.5%
8	33804	2.5%
9	205	< 0.1%
3	122	< 0.1%
4	87	< 0.1%

Other Punctuation

Value	Count	Frequency (%)
/	332086	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	1660430	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	424430	25.6%
0	385674	23.2%
2	338116	20.4%
/	332086	20.0%
5	112063	6.7%
7	33843	2.0%
8	33804	2.0%
9	205	< 0.1%
3	122	< 0.1%
4	87	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1660430	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	424430	25.6%
0	385674	23.2%
2	338116	20.4%
/	332086	20.0%
5	112063	6.7%
7	33843	2.0%
8	33804	2.0%
9	205	< 0.1%
3	122	< 0.1%
4	87	< 0.1%

ST_TURNO
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	9.2 MiB

1	165134
2	909

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	166043
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	1
3rd row	1
4th row	1
5th row	1

Common Values

Value	Count	Frequency (%)
1	165134	99.5%
2	909	0.5%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1	165134	99.5%
2	909	0.5%

Most occurring characters

Value	Count	Frequency (%)
1	165134	99.5%
2	909	0.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	166043	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	165134	99.5%
2	909	0.5%

Most occurring scripts

Value	Count	Frequency (%)
Common	166043	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	165134	99.5%
2	909	0.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	166043	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	165134	99.5%
2	909	0.5%

TP_PRESTACAO_CONTAS
Categorical

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	9.8 MiB

FINAL	164059
PARCIAL	1304
RELATÓRIO FINANCEIRO	577
REGULARIZAÇÃO DA OMISSÃO	103

Length

Max length	24
Median length	5
Mean length	5.0796179
Min length	5

Characters and Unicode

Total characters	843435
Distinct characters	21
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	FINAL
2nd row	FINAL
3rd row	FINAL
4th row	FINAL
5th row	FINAL

Common Values

Value	Count	Frequency (%)
FINAL	164059	98.8%
PARCIAL	1304	0.8%
RELATÓRIO FINANCEIRO	577	0.3%
REGULARIZAÇÃO DA OMISSÃO	103	0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
final	164059	98.3%
parcial	1304	0.8%
relatório	577	0.3%
financeiro	577	0.3%
regularização	103	0.1%
da	103	0.1%
omissão	103	0.1%

Most occurring characters

Value	Count	Frequency (%)
A	168130	19.9%
I	167300	19.8%
L	166043	19.7%
N	165213	19.6%
F	164636	19.5%
R	3241	0.4%
C	1881	0.2%
O	1463	0.2%
P	1304	0.2%
E	1257	0.1%
Other values (11)	2967	0.4%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	842652	99.9%
Space Separator	783	0.1%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
A	168130	20.0%
I	167300	19.9%
L	166043	19.7%
N	165213	19.6%
F	164636	19.5%
R	3241	0.4%
C	1881	0.2%
O	1463	0.2%
P	1304	0.2%
E	1257	0.1%
Other values (10)	2184	0.3%

Space Separator

Value	Count	Frequency (%)
	783	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	842652	99.9%
Common	783	0.1%

Most frequent character per script

Latin

Value	Count	Frequency (%)
A	168130	20.0%
I	167300	19.9%
L	166043	19.7%
N	165213	19.6%
F	164636	19.5%
R	3241	0.4%
C	1881	0.2%
O	1463	0.2%
P	1304	0.2%
E	1257	0.1%
Other values (10)	2184	0.3%

Common

Value	Count	Frequency (%)
	783	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	842549	99.9%
None	886	0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
A	168130	20.0%
I	167300	19.9%
L	166043	19.7%
N	165213	19.6%
F	164636	19.5%
R	3241	0.4%
C	1881	0.2%
O	1463	0.2%
P	1304	0.2%
E	1257	0.1%
Other values (8)	2081	0.2%

None

Value	Count	Frequency (%)
Ó	577	65.1%
Ã	206	23.3%
Ç	103	11.6%

DT_PRESTACAO_CONTAS
Categorical

Distinct	871
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Memory size	10.6 MiB

15/12/2020	23241
14/12/2020	10951
01/11/2022	7423
11/12/2020	6799
06/11/2018	6397
Other values (866)	111232

Length

Max length	10
Median length	10
Mean length	10
Min length	10

Characters and Unicode

Total characters	1660430
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	27 ?
Unique (%)	< 0.1%

Sample

1st row	17/11/2022
2nd row	17/11/2022
3rd row	17/11/2022
4th row	17/11/2022
5th row	17/11/2022

Common Values

Value	Count	Frequency (%)
15/12/2020	23241	14.0%
14/12/2020	10951	6.6%
01/11/2022	7423	4.5%
11/12/2020	6799	4.1%
06/11/2018	6397	3.9%
10/12/2020	4914	3.0%
13/12/2020	4425	2.7%
12/12/2020	4406	2.7%
31/10/2022	3285	2.0%
09/12/2020	3161	1.9%
Other values (861)	91041	54.8%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
15/12/2020	23241	14.0%
14/12/2020	10951	6.6%
01/11/2022	7423	4.5%
11/12/2020	6799	4.1%
06/11/2018	6397	3.9%
10/12/2020	4914	3.0%
13/12/2020	4425	2.7%
12/12/2020	4406	2.7%
31/10/2022	3285	2.0%
09/12/2020	3161	1.9%
Other values (861)	91041	54.8%

Most occurring characters

Value	Count	Frequency (%)
2	449524	27.1%
0	364257	21.9%
1	332316	20.0%
/	332086	20.0%
8	37666	2.3%
5	36065	2.2%
3	31027	1.9%
9	24975	1.5%
4	22890	1.4%
6	16629	1.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1328344	80.0%
Other Punctuation	332086	20.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
2	449524	33.8%
0	364257	27.4%
1	332316	25.0%
8	37666	2.8%
5	36065	2.7%
3	31027	2.3%
9	24975	1.9%
4	22890	1.7%
6	16629	1.3%
7	12995	1.0%

Other Punctuation

Value	Count	Frequency (%)
/	332086	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	1660430	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
2	449524	27.1%
0	364257	21.9%
1	332316	20.0%
/	332086	20.0%
8	37666	2.3%
5	36065	2.2%
3	31027	1.9%
9	24975	1.5%
4	22890	1.4%
6	16629	1.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1660430	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
2	449524	27.1%
0	364257	21.9%
1	332316	20.0%
/	332086	20.0%
8	37666	2.3%
5	36065	2.2%
3	31027	1.9%
9	24975	1.5%
4	22890	1.4%
6	16629	1.0%

SQ_PRESTADOR_CONTAS
Real number (ℝ)

Distinct	25363
Distinct (%)	15.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1.7866964 × 10⁹

Minimum	4.1626776 × 10⁸
Maximum	3.8725941 × 10⁹
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.4 MiB

Quantile statistics

Minimum	4.1626776 × 10⁸
5-th percentile	4.1949243 × 10⁸
Q1	1.828968 × 10⁹
median	1.8441777 × 10⁹
Q3	1.8476245 × 10⁹
95-th percentile	3.7861522 × 10⁹
Maximum	3.8725941 × 10⁹
Range	3.4563263 × 10⁹
Interquartile range (IQR)	18656572

Descriptive statistics

Standard deviation	9.2527563 × 10⁸
Coefficient of variation (CV)	0.51786953
Kurtosis	0.53094585
Mean	1.7866964 × 10⁹
Median Absolute Deviation (MAD)	5666945
Skewness	0.54074664
Sum	2.9666843 × 10¹⁴
Variance	8.5613498 × 10¹⁷
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1834939732	459	0.3%
1843176159	330	0.2%
3781005024	289	0.2%
1846427020	208	0.1%
420246912	206	0.1%
1845560244	185	0.1%
416988212	175	0.1%
1846980129	172	0.1%
1829968303	168	0.1%
422524176	168	0.1%
Other values (25353)	163683	98.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
416267760	34	< 0.1%
416267792	1	< 0.1%
416267818	6	< 0.1%
416267841	1	< 0.1%
416267842	16	< 0.1%
416267843	54	< 0.1%
416267936	2	< 0.1%
416267937	8	< 0.1%
416267956	5	< 0.1%
416267968	46	< 0.1%

Value	Count	Frequency (%)
3872594057	1	< 0.1%
3872224213	1	< 0.1%
3872224194	2	< 0.1%
3872224103	3	< 0.1%
3871480915	5	< 0.1%
3869614225	2	< 0.1%
3858814809	10	< 0.1%
3858069456	1	< 0.1%
3858069430	1	< 0.1%
3858069422	2	< 0.1%

SG_UF
Categorical

Distinct	1
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	9.3 MiB

RJ	166043

Length

Max length	2
Median length	2
Mean length	2
Min length	2

Characters and Unicode

Total characters	332086
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	RJ
2nd row	RJ
3rd row	RJ
4th row	RJ
5th row	RJ

Common Values

Value	Count	Frequency (%)
RJ	166043	100.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
rj	166043	100.0%

Most occurring characters

Value	Count	Frequency (%)
R	166043	50.0%
J	166043	50.0%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	332086	100.0%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
R	166043	50.0%
J	166043	50.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	332086	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
R	166043	50.0%
J	166043	50.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	332086	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
R	166043	50.0%
J	166043	50.0%

SG_UE
Unsupported

REJECTED
UNSUPPORTED

Missing	0
Missing (%)	0.0%
Memory size	6.9 MiB

NM_UE
Categorical

HIGH CARDINALITY
HIGH CORRELATION

Distinct	92
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	11.9 MiB

RIO DE JANEIRO	66233
CAMPOS DOS GOYTACAZES	6287
NITERÓI	4491
BARRA MANSA	3641
PORTO REAL	3065
Other values (87)	82326

Length

Max length	29
Median length	27
Mean length	12.549032
Min length	4

Characters and Unicode

Total characters	2083679
Distinct characters	35
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	RIO DE JANEIRO
2nd row	RIO DE JANEIRO
3rd row	RIO DE JANEIRO
4th row	RIO DE JANEIRO
5th row	RIO DE JANEIRO

Common Values

Value	Count	Frequency (%)
RIO DE JANEIRO	66233	39.9%
CAMPOS DOS GOYTACAZES	6287	3.8%
NITERÓI	4491	2.7%
BARRA MANSA	3641	2.2%
PORTO REAL	3065	1.8%
BELFORD ROXO	3053	1.8%
SÃO GONÇALO	2831	1.7%
VOLTA REDONDA	2701	1.6%
NOVA FRIBURGO	2280	1.4%
MAGÉ	2269	1.4%
Other values (82)	69192	41.7%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
de	73508	18.9%
rio	70190	18.0%
janeiro	66233	17.0%
são	9079	2.3%
dos	8759	2.3%
goytacazes	6287	1.6%
campos	6287	1.6%
barra	6113	1.6%
do	4800	1.2%
niterói	4491	1.2%
Other values (124)	133479	34.3%

Most occurring characters

Value	Count	Frequency (%)
O	249840	12.0%
A	235940	11.3%
R	229281	11.0%
	223183	10.7%
I	206045	9.9%
E	202124	9.7%
D	116852	5.6%
N	103738	5.0%
S	80998	3.9%
J	72229	3.5%
Other values (25)	363449	17.4%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	1860310	89.3%
Space Separator	223183	10.7%
Dash Punctuation	186	< 0.1%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
O	249840	13.4%
A	235940	12.7%
R	229281	12.3%
I	206045	11.1%
E	202124	10.9%
D	116852	6.3%
N	103738	5.6%
S	80998	4.4%
J	72229	3.9%
T	42959	2.3%
Other values (23)	320304	17.2%

Space Separator

Value	Count	Frequency (%)
	223183	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	186	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1860310	89.3%
Common	223369	10.7%

Most frequent character per script

Latin

Value	Count	Frequency (%)
O	249840	13.4%
A	235940	12.7%
R	229281	12.3%
I	206045	11.1%
E	202124	10.9%
D	116852	6.3%
N	103738	5.6%
S	80998	4.4%
J	72229	3.9%
T	42959	2.3%
Other values (23)	320304	17.2%

Common

Value	Count	Frequency (%)
	223183	99.9%
-	186	0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2033697	97.6%
None	49982	2.4%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
O	249840	12.3%
A	235940	11.6%
R	229281	11.3%
	223183	11.0%
I	206045	10.1%
E	202124	9.9%
D	116852	5.7%
N	103738	5.1%
S	80998	4.0%
J	72229	3.6%
Other values (16)	313467	15.4%

None

Value	Count	Frequency (%)
Ã	14148	28.3%
Ó	9789	19.6%
Ç	6565	13.1%
É	6552	13.1%
Í	5823	11.7%
Á	3499	7.0%
Ê	1724	3.4%
Ú	1197	2.4%
Ô	685	1.4%

NR_CNPJ_PRESTADOR_CONTA
Real number (ℝ)

Distinct	25355
Distinct (%)	15.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	3.8331065 × 10¹³

Minimum	3.1123042 × 10¹³
Maximum	4.7957406 × 10¹³
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.4 MiB

Quantile statistics

Minimum	3.1123042 × 10¹³
5-th percentile	3.1181598 × 10¹³
Q1	3.8528763 × 10¹³
median	3.8788057 × 10¹³
Q3	3.9085447 × 10¹³
95-th percentile	4.750905 × 10¹³
Maximum	4.7957406 × 10¹³
Range	1.6834364 × 10¹³
Interquartile range (IQR)	5.56684 × 10¹¹

Descriptive statistics

Standard deviation	4.5347826 × 10¹²
Coefficient of variation (CV)	0.11830568
Kurtosis	0.21804079
Mean	3.8331065 × 10¹³
Median Absolute Deviation (MAD)	2.74865 × 10¹¹
Skewness	0.19139016
Sum	6.364605 × 10¹⁸
Variance	2.0564254 × 10²⁵
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
38575762000199	459	0.3%
38667216000188	330	0.2%
47475432000112	289	0.2%
38913167000116	208	0.1%
31192807000105	206	0.1%
38865091000109	185	0.1%
31149858000146	175	0.1%
38966997000101	172	0.1%
38533570000110	168	0.1%
31212058000122	168	0.1%
Other values (25345)	163683	98.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
31123042000143	5	< 0.1%
31123046000121	4	< 0.1%
31123047000176	7	< 0.1%
31123049000165	7	< 0.1%
31123050000190	26	< 0.1%
31123051000134	25	< 0.1%
31123053000123	3	< 0.1%
31123054000178	73	< 0.1%
31123055000112	15	< 0.1%
31123056000167	14	< 0.1%

Value	Count	Frequency (%)
47957406000120	5	< 0.1%
47934024000181	1	< 0.1%
47924205000127	3	< 0.1%
47924195000120	2	< 0.1%
47924186000139	1	< 0.1%
47906471000127	2	< 0.1%
47810290000100	2	< 0.1%
47798546000101	10	< 0.1%
47791875000112	1	< 0.1%
47791873000123	3	< 0.1%

CD_CARGO
Real number (ℝ)

Distinct	7
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	10.805075

Minimum	3
Maximum	13
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.4 MiB

Quantile statistics

Minimum	3
5-th percentile	6
Q1	7
median	13
Q3	13
95-th percentile	13
Maximum	13
Range	10
Interquartile range (IQR)	6

Descriptive statistics

Standard deviation	2.9960778
Coefficient of variation (CV)	0.27728432
Kurtosis	-1.2478029
Mean	10.805075
Median Absolute Deviation (MAD)	0
Skewness	-0.75907341
Sum	1794107
Variance	8.9764821
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=7)

Value	Count	Frequency (%)
13	102984	62.0%
7	32877	19.8%
6	19111	11.5%
11	9468	5.7%
3	837	0.5%
5	763	0.5%
12	3	< 0.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
3	837	0.5%
5	763	0.5%
6	19111	11.5%
7	32877	19.8%
11	9468	5.7%
12	3	< 0.1%
13	102984	62.0%

Value	Count	Frequency (%)
13	102984	62.0%
12	3	< 0.1%
11	9468	5.7%
7	32877	19.8%
6	19111	11.5%
5	763	0.5%
3	837	0.5%

DS_CARGO
Categorical

Distinct	7
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	10.7 MiB

Vereador	102984
Deputado Estadual	32877
Deputado Federal	19111
Prefeito	9468
Governador	837
Other values (2)	766

Length

Max length	17
Median length	8
Mean length	10.708377
Min length	7

Characters and Unicode

Total characters	1778051
Distinct characters	24
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Deputado Estadual
2nd row	Deputado Estadual
3rd row	Deputado Estadual
4th row	Deputado Estadual
5th row	Deputado Estadual

Common Values

Value	Count	Frequency (%)
Vereador	102984	62.0%
Deputado Estadual	32877	19.8%
Deputado Federal	19111	11.5%
Prefeito	9468	5.7%
Governador	837	0.5%
Senador	763	0.5%
Vice-prefeito	3	< 0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
vereador	102984	47.2%
deputado	51988	23.8%
estadual	32877	15.1%
federal	19111	8.8%
prefeito	9468	4.3%
governador	837	0.4%
senador	763	0.3%
vice-prefeito	3	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
e	316723	17.8%
a	241437	13.6%
r	236987	13.3%
d	208560	11.7%
o	166880	9.4%
V	102987	5.8%
t	94336	5.3%
u	84865	4.8%
p	51991	2.9%
D	51988	2.9%
Other values (14)	221297	12.4%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	1508029	84.8%
Uppercase Letter	218031	12.3%
Space Separator	51988	2.9%
Dash Punctuation	3	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	316723	21.0%
a	241437	16.0%
r	236987	15.7%
d	208560	13.8%
o	166880	11.1%
t	94336	6.3%
u	84865	5.6%
p	51991	3.4%
l	51988	3.4%
s	32877	2.2%
Other values (5)	21385	1.4%

Uppercase Letter

Value	Count	Frequency (%)
V	102987	47.2%
D	51988	23.8%
E	32877	15.1%
F	19111	8.8%
P	9468	4.3%
G	837	0.4%
S	763	0.3%

Space Separator

Value	Count	Frequency (%)
	51988	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	3	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1726060	97.1%
Common	51991	2.9%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	316723	18.3%
a	241437	14.0%
r	236987	13.7%
d	208560	12.1%
o	166880	9.7%
V	102987	6.0%
t	94336	5.5%
u	84865	4.9%
p	51991	3.0%
D	51988	3.0%
Other values (12)	169306	9.8%

Common

Value	Count	Frequency (%)
	51988	> 99.9%
-	3	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1778051	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	316723	17.8%
a	241437	13.6%
r	236987	13.3%
d	208560	11.7%
o	166880	9.4%
V	102987	5.8%
t	94336	5.3%
u	84865	4.8%
p	51991	2.9%
D	51988	2.9%
Other values (14)	221297	12.4%

SQ_CANDIDATO
Real number (ℝ)

Distinct	25363
Distinct (%)	15.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1.9000095 × 10¹¹

Minimum	1.900006 × 10¹¹
Maximum	1.9000174 × 10¹¹
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.4 MiB

Quantile statistics

Minimum	1.900006 × 10¹¹
5-th percentile	1.9000061 × 10¹¹
Q1	1.9000066 × 10¹¹
median	1.9000087 × 10¹¹
Q3	1.9000112 × 10¹¹
95-th percentile	1.9000162 × 10¹¹
Maximum	1.9000174 × 10¹¹
Range	1138171
Interquartile range (IQR)	465869

Descriptive statistics

Standard deviation	320193.07
Coefficient of variation (CV)	1.6852182 × 10^-6
Kurtosis	-0.1314178
Mean	1.9000095 × 10¹¹
Median Absolute Deviation (MAD)	229486
Skewness	0.88625643
Sum	3.1548328 × 10¹⁶
Variance	1.025236 × 10¹¹
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
190000688286	459	0.3%
190000782184	330	0.2%
190001612455	289	0.2%
190001009042	208	0.1%
190000607467	206	0.1%
190000989813	185	0.1%
190000602265	175	0.1%
190001055012	172	0.1%
190000662122	168	0.1%
190000613606	168	0.1%
Other values (25353)	163683	98.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
190000601071	20	< 0.1%
190000601072	4	< 0.1%
190000601073	6	< 0.1%
190000601074	2	< 0.1%
190000601075	8	< 0.1%
190000601076	16	< 0.1%
190000601077	5	< 0.1%
190000601078	29	< 0.1%
190000601079	3	< 0.1%
190000601081	15	< 0.1%

Value	Count	Frequency (%)
190001739242	1	< 0.1%
190001738883	1	< 0.1%
190001738882	2	< 0.1%
190001738867	3	< 0.1%
190001738698	5	< 0.1%
190001737551	2	< 0.1%
190001732486	10	< 0.1%
190001732307	3	< 0.1%
190001732306	1	< 0.1%
190001732304	1	< 0.1%

NR_CANDIDATO
Real number (ℝ)

Distinct	8737
Distinct (%)	5.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	27491.573

Minimum	10
Maximum	90999
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.4 MiB

Quantile statistics

Minimum	10
5-th percentile	55
Q1	11333
median	20696
Q3	43007
95-th percentile	77123
Maximum	90999
Range	90989
Interquartile range (IQR)	31674

Descriptive statistics

Standard deviation	22855.179
Coefficient of variation (CV)	0.83135216
Kurtosis	0.1851681
Mean	27491.573
Median Absolute Deviation (MAD)	11606
Skewness	0.98553792
Sum	4.5647833 × 10⁹
Variance	5.223592 × 10⁸
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
25	1028	0.6%
55	1019	0.6%
77	855	0.5%
20	676	0.4%
12	553	0.3%
10	488	0.3%
22	464	0.3%
10123	462	0.3%
19	458	0.3%
11111	450	0.3%
Other values (8727)	159590	96.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
10	488	0.3%
11	450	0.3%
12	553	0.3%
13	242	0.1%
14	162	0.1%
15	440	0.3%
16	107	0.1%
17	165	0.1%
18	36	< 0.1%
19	458	0.3%

Value	Count	Frequency (%)
90999	167	0.1%
90991	3	< 0.1%
90990	39	< 0.1%
90979	2	< 0.1%
90977	7	< 0.1%
90964	3	< 0.1%
90963	1	< 0.1%
90951	8	< 0.1%
90949	3	< 0.1%
90922	5	< 0.1%

NM_CANDIDATO
Categorical

Distinct	23651
Distinct (%)	14.2%
Missing	0
Missing (%)	0.0%
Memory size	13.6 MiB

EDUARDO DA COSTA PAES	512
ALESSANDRO CRONGE BOUZADA	330
ROMÁRIO DE SOUZA FARIA	289
MAX RODRIGUES LEMOS	262
FABIANO GONÇALVES	258
Other values (23646)	164392

Length

Max length	59
Median length	49
Mean length	25.481743
Min length	8

Characters and Unicode

Total characters	4231065
Distinct characters	43
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	3285 ?
Unique (%)	2.0%

Sample

1st row	FILIPE BEZERRA RIBEIRO SOARES
2nd row	FILIPE BEZERRA RIBEIRO SOARES
3rd row	FILIPE BEZERRA RIBEIRO SOARES
4th row	FILIPE BEZERRA RIBEIRO SOARES
5th row	FILIPE BEZERRA RIBEIRO SOARES

Common Values

Value	Count	Frequency (%)
EDUARDO DA COSTA PAES	512	0.3%
ALESSANDRO CRONGE BOUZADA	330	0.2%
ROMÁRIO DE SOUZA FARIA	289	0.2%
MAX RODRIGUES LEMOS	262	0.2%
FABIANO GONÇALVES	258	0.2%
PAULO GUSTAVO GANIME ALVES TEIXEIRA	246	0.1%
WLADIMIR BARROS ASSED MATHEUS DE OLIVEIRA	235	0.1%
SERGIO ALBERTO SOARES	223	0.1%
FELIPE DOS SANTOS PEIXOTO	217	0.1%
DANIELA MOTE DE SOUZA CARNEIRO	217	0.1%
Other values (23641)	163254	98.3%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
de	45513	6.9%
da	32344	4.9%
silva	28790	4.4%
santos	13759	2.1%
oliveira	12522	1.9%
souza	12052	1.8%
dos	10734	1.6%
carlos	7254	1.1%
pereira	6558	1.0%
luiz	6436	1.0%
Other values (9503)	479707	73.2%

Most occurring characters

Value	Count	Frequency (%)
A	543867	12.9%
	489664	11.6%
E	378856	9.0%
O	358857	8.5%
R	335219	7.9%
I	334395	7.9%
S	274348	6.5%
L	217294	5.1%
N	203360	4.8%
D	195896	4.6%
Other values (33)	899309	21.3%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	3741392	88.4%
Space Separator	489664	11.6%
Other Punctuation	9	< 0.1%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
A	543867	14.5%
E	378856	10.1%
O	358857	9.6%
R	335219	9.0%
I	334395	8.9%
S	274348	7.3%
L	217294	5.8%
N	203360	5.4%
D	195896	5.2%
C	120133	3.2%
Other values (31)	779167	20.8%

Space Separator

Value	Count	Frequency (%)
	489664	100.0%

Other Punctuation

Value	Count	Frequency (%)
,	9	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	3741392	88.4%
Common	489673	11.6%

Most frequent character per script

Latin

Value	Count	Frequency (%)
A	543867	14.5%
E	378856	10.1%
O	358857	9.6%
R	335219	9.0%
I	334395	8.9%
S	274348	7.3%
L	217294	5.8%
N	203360	5.4%
D	195896	5.2%
C	120133	3.2%
Other values (31)	779167	20.8%

Common

Value	Count	Frequency (%)
	489664	> 99.9%
,	9	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	4201258	99.3%
None	29807	0.7%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
A	543867	12.9%
	489664	11.7%
E	378856	9.0%
O	358857	8.5%
R	335219	8.0%
I	334395	8.0%
S	274348	6.5%
L	217294	5.2%
N	203360	4.8%
D	195896	4.7%
Other values (18)	869502	20.7%

None

Value	Count	Frequency (%)
É	7497	25.2%
Ã	6614	22.2%
Ç	6239	20.9%
Á	3175	10.7%
Í	1303	4.4%
Ú	1284	4.3%
Ô	1119	3.8%
Ê	920	3.1%
Ó	707	2.4%
Â	528	1.8%
Other values (5)	421	1.4%

NR_CPF_CANDIDATO
Real number (ℝ)

Distinct	23390
Distinct (%)	14.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2.6220773 × 10¹⁰

Minimum	1078755
Maximum	9.9999448 × 10¹⁰
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.4 MiB

Quantile statistics

Minimum	1078755
5-th percentile	8.4640073 × 10⁸
Q1	4.7550208 × 10⁹
median	9.9119678 × 10⁹
Q3	4.7224755 × 10¹⁰
95-th percentile	9.0671954 × 10¹⁰
Maximum	9.9999448 × 10¹⁰
Range	9.9998369 × 10¹⁰
Interquartile range (IQR)	4.2469734 × 10¹⁰

Descriptive statistics

Standard deviation	3.1101281 × 10¹⁰
Coefficient of variation (CV)	1.1861314
Kurtosis	-0.31308293
Mean	2.6220773 × 10¹⁰
Median Absolute Deviation (MAD)	6.909882 × 10⁹
Skewness	1.1426602
Sum	4.3537757 × 10¹⁵
Variance	9.6728969 × 10²⁰
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1475189702	512	0.3%
90671953753	341	0.2%
3087414638	330	0.2%
75061600720	262	0.2%
2652630776	258	0.2%
69049351468	255	0.2%
9911967751	246	0.1%
10855834730	235	0.1%
13531689720	223	0.1%
1290538727	217	0.1%
Other values (23380)	163164	98.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1078755	1	< 0.1%
3496740	7	< 0.1%
3512703	4	< 0.1%
4772733	27	< 0.1%
6186750	1	< 0.1%
6616780	2	< 0.1%
6674712	1	< 0.1%
7487738	41	< 0.1%
8084742	1	< 0.1%
8596727	7	< 0.1%

Value	Count	Frequency (%)
99999447791	2	< 0.1%
99997339720	1	< 0.1%
99975688772	8	< 0.1%
99974428734	8	< 0.1%
99969114700	6	< 0.1%
99964635753	1	< 0.1%
99962454700	4	< 0.1%
99961920678	3	< 0.1%
99961580710	4	< 0.1%
99961482700	5	< 0.1%

NR_CPF_VICE_CANDIDATO
Real number (ℝ)

HIGH CORRELATION
MISSING

Distinct	614
Distinct (%)	5.6%
Missing	154995
Missing (%)	93.3%
Infinite	0
Infinite (%)	0.0%
Mean	2.8498865 × 10¹⁰

Minimum	16568729
Maximum	9.9750016 × 10¹⁰
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.4 MiB

Quantile statistics

Minimum	16568729
5-th percentile	7.5734371 × 10⁸
Q1	6.608914 × 10⁹
median	1.2351218 × 10¹⁰
Q3	5.0478847 × 10¹⁰
95-th percentile	8.7518211 × 10¹⁰
Maximum	9.9750016 × 10¹⁰
Range	9.9733447 × 10¹⁰
Interquartile range (IQR)	4.3869933 × 10¹⁰

Descriptive statistics

Standard deviation	2.9507191 × 10¹⁰
Coefficient of variation (CV)	1.0353813
Kurtosis	-0.51871641
Mean	2.8498865 × 10¹⁰
Median Absolute Deviation (MAD)	1.0489053 × 10¹⁰
Skewness	0.93769881
Sum	3.1485546 × 10¹⁴
Variance	8.7067434 × 10²⁰
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
38676508704.0	459	0.3%
12820072704.0	330	0.2%
1862164754.0	289	0.2%
64112462620.0	208	0.1%
70649146700.0	185	0.1%
12817257731.0	172	0.1%
51538903768.0	168	0.1%
10643846760.0	150	0.1%
21290946787.0	136	0.1%
8927071786.0	132	0.1%
Other values (604)	8819	5.3%
(Missing)	154995	93.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
16568729.0	4	< 0.1%
34745777.0	9	< 0.1%
138178763.0	8	< 0.1%
160714761.0	2	< 0.1%
189539720.0	2	< 0.1%
209623713.0	7	< 0.1%
243984707.0	5	< 0.1%
249712784.0	15	< 0.1%
260155799.0	40	< 0.1%
270287710.0	5	< 0.1%

Value	Count	Frequency (%)
99750015720.0	18	< 0.1%
99590638791.0	6	< 0.1%
99488957700.0	43	< 0.1%
99485370768.0	22	< 0.1%
99171104704.0	9	< 0.1%
98950622734.0	11	< 0.1%
98271016768.0	16	< 0.1%
98087436768.0	13	< 0.1%
97406120753.0	35	< 0.1%
97192465704.0	7	< 0.1%

NR_PARTIDO
Real number (ℝ)

Distinct	36
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	32.960113

Minimum	10
Maximum	90
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.4 MiB

Quantile statistics

Minimum	10
5-th percentile	10
Q1	15
median	25
Q3	45
95-th percentile	77
Maximum	90
Range	80
Interquartile range (IQR)	30

Descriptive statistics

Standard deviation	21.538171
Coefficient of variation (CV)	0.65346168
Kurtosis	0.040595461
Mean	32.960113
Median Absolute Deviation (MAD)	12
Skewness	1.0088607
Sum	5472796
Variance	463.89279
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=36)

Value	Count	Frequency (%)
55	9947	6.0%
10	8914	5.4%
22	8275	5.0%
25	8059	4.9%
20	7994	4.8%
15	7542	4.5%
77	7522	4.5%
11	7400	4.5%
17	7132	4.3%
12	6993	4.2%
Other values (26)	86265	52.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
10	8914	5.4%
11	7400	4.5%
12	6993	4.2%
13	6769	4.1%
14	5622	3.4%
15	7542	4.5%
16	352	0.2%
17	7132	4.3%
18	1737	1.0%
19	4372	2.6%

Value	Count	Frequency (%)
90	5015	3.0%
80	193	0.1%
77	7522	4.5%
70	5382	3.2%
65	3163	1.9%
55	9947	6.0%
54	283	0.2%
51	4673	2.8%
50	5212	3.1%
45	5244	3.2%

SG_PARTIDO
Categorical

Distinct	41
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	9.7 MiB

PSD	9947
DEM	8059
PSC	7994
MDB	7542
PL	7530
Other values (36)	124971

Length

Max length	13
Median length	12
Mean length	4.4030944
Min length	2

Characters and Unicode

Total characters	731103
Distinct characters	22
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	UNIÃO
2nd row	UNIÃO
3rd row	UNIÃO
4th row	UNIÃO
5th row	UNIÃO

Common Values

Value	Count	Frequency (%)
PSD	9947	6.0%
DEM	8059	4.9%
PSC	7994	4.8%
MDB	7542	4.5%
PL	7530	4.5%
SOLIDARIEDADE	7522	4.5%
PP	7400	4.5%
REPUBLICANOS	7313	4.4%
PSL	7132	4.3%
PDT	6993	4.2%
Other values (31)	88611	53.4%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
psd	9947	5.8%
dem	8059	4.7%
psc	7994	4.6%
mdb	7542	4.4%
pl	7530	4.4%
solidariedade	7522	4.4%
pp	7400	4.3%
republicanos	7313	4.2%
psl	7132	4.1%
pdt	6993	4.1%
Other values (33)	94937	55.1%

Most occurring characters

Value	Count	Frequency (%)
P	130227	17.8%
D	83733	11.5%
A	61963	8.5%
S	61501	8.4%
E	43644	6.0%
B	43115	5.9%
T	42306	5.8%
I	41079	5.6%
O	40462	5.5%
L	34992	4.8%
Other values (12)	148081	20.3%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	718451	98.3%
Space Separator	6326	0.9%
Lowercase Letter	6326	0.9%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
P	130227	18.1%
D	83733	11.7%
A	61963	8.6%
S	61501	8.6%
E	43644	6.1%
B	43115	6.0%
T	42306	5.9%
I	41079	5.7%
O	40462	5.6%
L	34992	4.9%
Other values (9)	135429	18.9%

Lowercase Letter

Value	Count	Frequency (%)
d	3163	50.0%
o	3163	50.0%

Space Separator

Value	Count	Frequency (%)
	6326	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	724777	99.1%
Common	6326	0.9%

Most frequent character per script

Latin

Value	Count	Frequency (%)
P	130227	18.0%
D	83733	11.6%
A	61963	8.5%
S	61501	8.5%
E	43644	6.0%
B	43115	5.9%
T	42306	5.8%
I	41079	5.7%
O	40462	5.6%
L	34992	4.8%
Other values (11)	141755	19.6%

Common

Value	Count	Frequency (%)
	6326	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	730173	99.9%
None	930	0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
P	130227	17.8%
D	83733	11.5%
A	61963	8.5%
S	61501	8.4%
E	43644	6.0%
B	43115	5.9%
T	42306	5.8%
I	41079	5.6%
O	40462	5.5%
L	34992	4.8%
Other values (11)	147151	20.2%

None

Value	Count	Frequency (%)
Ã	930	100.0%

NM_PARTIDO
Categorical

Distinct	42
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	13.4 MiB

Partido Social Democrático	9947
Democratas	8059
Partido Social Cristão	7994
Movimento Democrático Brasileiro	7542
Partido Liberal	7530
Other values (37)	124971

Length

Max length	46
Median length	31
Mean length	21.50985
Min length	4

Characters and Unicode

Total characters	3571560
Distinct characters	44
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	UNIÃO BRASIL
2nd row	UNIÃO BRASIL
3rd row	UNIÃO BRASIL
4th row	UNIÃO BRASIL
5th row	UNIÃO BRASIL

Common Values

Value	Count	Frequency (%)
Partido Social Democrático	9947	6.0%
Democratas	8059	4.9%
Partido Social Cristão	7994	4.8%
Movimento Democrático Brasileiro	7542	4.5%
Partido Liberal	7530	4.5%
Solidariedade	7522	4.5%
REPUBLICANOS	7313	4.4%
Partido Social Liberal	7132	4.3%
Partido Democrático Trabalhista	6993	4.2%
Partido dos Trabalhadores	6769	4.1%
Other values (32)	89242	53.7%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
partido	99659	24.0%
social	35332	8.5%
democrático	24482	5.9%
brasileiro	24062	5.8%
trabalhista	20457	4.9%
da	17513	4.2%
liberal	14662	3.5%
cristão	10947	2.6%
democracia	9763	2.3%
brasileira	8577	2.1%
Other values (41)	150133	36.1%

Most occurring characters

Value	Count	Frequency (%)
a	428311	12.0%
i	382252	10.7%
o	342446	9.6%
r	315209	8.8%
	249544	7.0%
d	206178	5.8%
t	200084	5.6%
e	178198	5.0%
l	150872	4.2%
c	133282	3.7%
Other values (34)	985184	27.6%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	2745016	76.9%
Uppercase Letter	577000	16.2%
Space Separator	249544	7.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	428311	15.6%
i	382252	13.9%
o	342446	12.5%
r	315209	11.5%
d	206178	7.5%
t	200084	7.3%
e	178198	6.5%
l	150872	5.5%
c	133282	4.9%
s	121577	4.4%
Other values (14)	286607	10.4%

Uppercase Letter

Value	Count	Frequency (%)
P	125489	21.7%
S	90036	15.6%
B	44045	7.6%
D	42304	7.3%
T	39427	6.8%
R	36536	6.3%
C	32511	5.6%
L	28400	4.9%
A	25839	4.5%
O	19826	3.4%
Other values (9)	92587	16.0%

Space Separator

Value	Count	Frequency (%)
	249544	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	3322016	93.0%
Common	249544	7.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	428311	12.9%
i	382252	11.5%
o	342446	10.3%
r	315209	9.5%
d	206178	6.2%
t	200084	6.0%
e	178198	5.4%
l	150872	4.5%
c	133282	4.0%
P	125489	3.8%
Other values (33)	859695	25.9%

Common

Value	Count	Frequency (%)
	249544	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3525131	98.7%
None	46429	1.3%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	428311	12.2%
i	382252	10.8%
o	342446	9.7%
r	315209	8.9%
	249544	7.1%
d	206178	5.8%
t	200084	5.7%
e	178198	5.1%
l	150872	4.3%
c	133282	3.8%
Other values (29)	938755	26.6%

None

Value	Count	Frequency (%)
á	24866	53.6%
ã	17677	38.1%
ç	2211	4.8%
Ã	930	2.0%
ú	745	1.6%

CD_FONTE_RECEITA
Categorical

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	9.2 MiB

1	102948
2	53939
0	9156

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	166043
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	1
3rd row	1
4th row	1
5th row	1

Common Values

Value	Count	Frequency (%)
1	102948	62.0%
2	53939	32.5%
0	9156	5.5%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1	102948	62.0%
2	53939	32.5%
0	9156	5.5%

Most occurring characters

Value	Count	Frequency (%)
1	102948	62.0%
2	53939	32.5%
0	9156	5.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	166043	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	102948	62.0%
2	53939	32.5%
0	9156	5.5%

Most occurring scripts

Value	Count	Frequency (%)
Common	166043	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	102948	62.0%
2	53939	32.5%
0	9156	5.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	166043	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	102948	62.0%
2	53939	32.5%
0	9156	5.5%

DS_FONTE_RECEITA
Categorical

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	11.4 MiB

OUTROS RECURSOS	102948
FUNDO ESPECIAL	53939
FUNDO PARTIDARIO	9156

Length

Max length	16
Median length	15
Mean length	14.730293
Min length	14

Characters and Unicode

Total characters	2445862
Distinct characters	15
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	OUTROS RECURSOS
2nd row	OUTROS RECURSOS
3rd row	OUTROS RECURSOS
4th row	OUTROS RECURSOS
5th row	OUTROS RECURSOS

Common Values

Value	Count	Frequency (%)
OUTROS RECURSOS	102948	62.0%
FUNDO ESPECIAL	53939	32.5%
FUNDO PARTIDARIO	9156	5.5%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
outros	102948	31.0%
recursos	102948	31.0%
fundo	63095	19.0%
especial	53939	16.2%
partidario	9156	2.8%

Most occurring characters

Value	Count	Frequency (%)
O	381095	15.6%
S	362783	14.8%
R	327156	13.4%
U	268991	11.0%
E	210826	8.6%
	166043	6.8%
C	156887	6.4%
T	112104	4.6%
D	72251	3.0%
I	72251	3.0%
Other values (5)	315475	12.9%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	2279819	93.2%
Space Separator	166043	6.8%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
O	381095	16.7%
S	362783	15.9%
R	327156	14.4%
U	268991	11.8%
E	210826	9.2%
C	156887	6.9%
T	112104	4.9%
D	72251	3.2%
I	72251	3.2%
A	72251	3.2%
Other values (4)	243224	10.7%

Space Separator

Value	Count	Frequency (%)
	166043	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	2279819	93.2%
Common	166043	6.8%

Most frequent character per script

Latin

Value	Count	Frequency (%)
O	381095	16.7%
S	362783	15.9%
R	327156	14.4%
U	268991	11.8%
E	210826	9.2%
C	156887	6.9%
T	112104	4.9%
D	72251	3.2%
I	72251	3.2%
A	72251	3.2%
Other values (4)	243224	10.7%

Common

Value	Count	Frequency (%)
	166043	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2445862	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
O	381095	15.6%
S	362783	14.8%
R	327156	13.4%
U	268991	11.0%
E	210826	8.6%
	166043	6.8%
C	156887	6.4%
T	112104	4.6%
D	72251	3.0%
I	72251	3.0%
Other values (5)	315475	12.9%

CD_ORIGEM_RECEITA
Real number (ℝ)

Distinct	9
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	10023583

Minimum	10010100
Maximum	10040000
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.4 MiB

Quantile statistics

Minimum	10010100
5-th percentile	10010100
Q1	10010200
median	10020000
Q3	10040000
95-th percentile	10040000
Maximum	10040000
Range	29900
Interquartile range (IQR)	29800

Descriptive statistics

Standard deviation	13167.918
Coefficient of variation (CV)	0.0013136937
Kurtosis	-1.6817441
Mean	10023583
Median Absolute Deviation (MAD)	9800
Skewness	0.30007093
Sum	1.6643457 × 10¹²
Variance	1.7339406 × 10⁸
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=9)

Value	Count	Frequency (%)
10040000	61543	37.1%
10010200	47657	28.7%
10020000	36989	22.3%
10010100	17345	10.4%
10020500	2243	1.4%
10030300	113	0.1%
10030200	97	0.1%
10010400	54	< 0.1%
10030100	2	< 0.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
10010100	17345	10.4%
10010200	47657	28.7%
10010400	54	< 0.1%
10020000	36989	22.3%
10020500	2243	1.4%
10030100	2	< 0.1%
10030200	97	0.1%
10030300	113	0.1%
10040000	61543	37.1%

Value	Count	Frequency (%)
10040000	61543	37.1%
10030300	113	0.1%
10030200	97	0.1%
10030100	2	< 0.1%
10020500	2243	1.4%
10020000	36989	22.3%
10010400	54	< 0.1%
10010200	47657	28.7%
10010100	17345	10.4%

DS_ORIGEM_RECEITA
Categorical

Distinct	9
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	15.6 MiB

Recursos de outros candidatos	61543
Recursos de pessoas físicas	47657
Recursos de partido político	36989
Recursos próprios	17345
Recursos de Financiamento Coletivo	2243
Other values (4)	266

Length

Max length	48
Median length	37
Mean length	27.024957
Min length	17

Characters and Unicode

Total characters	4487305
Distinct characters	30
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Recursos de pessoas físicas
2nd row	Recursos de pessoas físicas
3rd row	Recursos de pessoas físicas
4th row	Recursos de pessoas físicas
5th row	Recursos de pessoas físicas

Common Values

Value	Count	Frequency (%)
Recursos de outros candidatos	61543	37.1%
Recursos de pessoas físicas	47657	28.7%
Recursos de partido político	36989	22.3%
Recursos próprios	17345	10.4%
Recursos de Financiamento Coletivo	2243	1.4%
Recursos de origens não identificadas	113	0.1%
Rendimentos de aplicações financeiras	97	0.1%
Doações pela Internet	54	< 0.1%
Comercialização de bens ou realização de eventos	2	< 0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
recursos	165890	26.4%
de	148646	23.6%
outros	61543	9.8%
candidatos	61543	9.8%
pessoas	47657	7.6%
físicas	47657	7.6%
partido	36989	5.9%
político	36989	5.9%
próprios	17345	2.8%
financiamento	2243	0.4%
Other values (15)	3045	0.5%

Most occurring characters

Value	Count	Frequency (%)
s	711071	15.8%
o	533604	11.9%
	463504	10.3%
e	367519	8.2%
c	314631	7.0%
d	309044	6.9%
r	299380	6.7%
a	260605	5.8%
u	227435	5.1%
i	208098	4.6%
Other values (20)	792414	17.7%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	3853218	85.9%
Space Separator	463504	10.3%
Uppercase Letter	170583	3.8%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
s	711071	18.5%
o	533604	13.8%
e	367519	9.5%
c	314631	8.2%
d	309044	8.0%
r	299380	7.8%
a	260605	6.8%
u	227435	5.9%
i	208098	5.4%
t	201870	5.2%
Other values (14)	419961	10.9%

Uppercase Letter

Value	Count	Frequency (%)
R	165987	97.3%
C	2245	1.3%
F	2243	1.3%
D	54	< 0.1%
I	54	< 0.1%

Space Separator

Value	Count	Frequency (%)
	463504	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	4023801	89.7%
Common	463504	10.3%

Most frequent character per script

Latin

Value	Count	Frequency (%)
s	711071	17.7%
o	533604	13.3%
e	367519	9.1%
c	314631	7.8%
d	309044	7.7%
r	299380	7.4%
a	260605	6.5%
u	227435	5.7%
i	208098	5.2%
t	201870	5.0%
Other values (19)	590544	14.7%

Common

Value	Count	Frequency (%)
	463504	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	4384891	97.7%
None	102414	2.3%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
s	711071	16.2%
o	533604	12.2%
	463504	10.6%
e	367519	8.4%
c	314631	7.2%
d	309044	7.0%
r	299380	6.8%
a	260605	5.9%
u	227435	5.2%
i	208098	4.7%
Other values (15)	690000	15.7%

None

Value	Count	Frequency (%)
í	84646	82.7%
ó	17345	16.9%
ç	155	0.2%
õ	151	0.1%
ã	117	0.1%

CD_NATUREZA_RECEITA
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	9.2 MiB

0	104426
1	61617

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	166043
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	1
3rd row	1
4th row	1
5th row	1

Common Values

Value	Count	Frequency (%)
0	104426	62.9%
1	61617	37.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	104426	62.9%
1	61617	37.1%

Most occurring characters

Value	Count	Frequency (%)
0	104426	62.9%
1	61617	37.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	166043	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	104426	62.9%
1	61617	37.1%

Most occurring scripts

Value	Count	Frequency (%)
Common	166043	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	104426	62.9%
1	61617	37.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	166043	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	104426	62.9%
1	61617	37.1%

DS_NATUREZA_RECEITA
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	12.9 MiB

ESTIMÁVEL	104426
FINANCEIRO	61617

Length

Max length	10
Median length	9
Mean length	9.3710906
Min length	9

Characters and Unicode

Total characters	1556004
Distinct characters	14
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	FINANCEIRO
2nd row	FINANCEIRO
3rd row	FINANCEIRO
4th row	FINANCEIRO
5th row	FINANCEIRO

Common Values

Value	Count	Frequency (%)
ESTIMÁVEL	104426	62.9%
FINANCEIRO	61617	37.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
estimável	104426	62.9%
financeiro	61617	37.1%

Most occurring characters

Value	Count	Frequency (%)
E	270469	17.4%
I	227660	14.6%
N	123234	7.9%
S	104426	6.7%
T	104426	6.7%
M	104426	6.7%
Á	104426	6.7%
V	104426	6.7%
L	104426	6.7%
F	61617	4.0%
Other values (4)	246468	15.8%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	1556004	100.0%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
E	270469	17.4%
I	227660	14.6%
N	123234	7.9%
S	104426	6.7%
T	104426	6.7%
M	104426	6.7%
Á	104426	6.7%
V	104426	6.7%
L	104426	6.7%
F	61617	4.0%
Other values (4)	246468	15.8%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1556004	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
E	270469	17.4%
I	227660	14.6%
N	123234	7.9%
S	104426	6.7%
T	104426	6.7%
M	104426	6.7%
Á	104426	6.7%
V	104426	6.7%
L	104426	6.7%
F	61617	4.0%
Other values (4)	246468	15.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1451578	93.3%
None	104426	6.7%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
E	270469	18.6%
I	227660	15.7%
N	123234	8.5%
S	104426	7.2%
T	104426	7.2%
M	104426	7.2%
V	104426	7.2%
L	104426	7.2%
F	61617	4.2%
A	61617	4.2%
Other values (3)	184851	12.7%

None

Value	Count	Frequency (%)
Á	104426	100.0%

CD_ESPECIE_RECEITA
Real number (ℝ)

Distinct	12
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2.2401848

Minimum	0
Maximum	19
Zeros	1357
Zeros (%)	0.8%
Negative	0
Negative (%)	0.0%
Memory size	1.4 MiB

Quantile statistics

Minimum	0
5-th percentile	1
Q1	1
median	2
Q3	2
95-th percentile	4
Maximum	19
Range	19
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	2.5206298
Coefficient of variation (CV)	1.1251883
Kurtosis	35.633802
Mean	2.2401848
Median Absolute Deviation (MAD)	0
Skewness	5.8236455
Sum	371967
Variance	6.3535743
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=12)

Value	Count	Frequency (%)
2	104426	62.9%
1	42783	25.8%
4	13651	8.2%
19	3230	1.9%
0	1357	0.8%
5	185	0.1%
3	136	0.1%
9	109	0.1%
16	97	0.1%
6	33	< 0.1%
Other values (2)	36	< 0.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	1357	0.8%
1	42783	25.8%
2	104426	62.9%
3	136	0.1%
4	13651	8.2%
5	185	0.1%
6	33	< 0.1%
7	29	< 0.1%
9	109	0.1%
13	7	< 0.1%

Value	Count	Frequency (%)
19	3230	1.9%
16	97	0.1%
13	7	< 0.1%
9	109	0.1%
7	29	< 0.1%
6	33	< 0.1%
5	185	0.1%
4	13651	8.2%
3	136	0.1%
2	104426	62.9%

DS_ESPECIE_RECEITA
Categorical

Distinct	12
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	12.4 MiB

Estimado	104426
Transferência eletrônica	42783
Depósito em espécie	13651
PIX	3230
Cheque	1357
Other values (7)	596

Length

Max length	25
Median length	8
Mean length	12.933162
Min length	2

Characters and Unicode

Total characters	2147461
Distinct characters	37
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Transferência eletrônica
2nd row	PIX
3rd row	PIX
4th row	PIX
5th row	PIX

Common Values

Value	Count	Frequency (%)
Estimado	104426	62.9%
Transferência eletrônica	42783	25.8%
Depósito em espécie	13651	8.2%
PIX	3230	1.9%
Cheque	1357	0.8%
Em espécie	185	0.1%
Outros títulos de crédito	136	0.1%
Não informado	109	0.1%
--	97	0.1%
Boleto de cobrança	33	< 0.1%
Other values (2)	36	< 0.1%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
estimado	104426	44.1%
eletrônica	42783	18.1%
transferência	42783	18.1%
em	13836	5.8%
espécie	13836	5.8%
depósito	13651	5.8%
pix	3230	1.4%
cheque	1357	0.6%
de	205	0.1%
crédito	165	0.1%
Other values (9)	696	0.3%

Most occurring characters

Value	Count	Frequency (%)
a	232986	10.8%
i	217760	10.1%
e	186275	8.7%
s	174968	8.1%
t	161509	7.5%
r	128828	6.0%
n	128491	6.0%
o	118983	5.5%
m	118371	5.5%
d	104912	4.9%
Other values (27)	574378	26.7%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	1903936	88.7%
Uppercase Letter	172406	8.0%
Space Separator	70925	3.3%
Dash Punctuation	194	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	232986	12.2%
i	217760	11.4%
e	186275	9.8%
s	174968	9.2%
t	161509	8.5%
r	128828	6.8%
n	128491	6.7%
o	118983	6.2%
m	118371	6.2%
d	104912	5.5%
Other values (15)	330853	17.4%

Uppercase Letter

Value	Count	Frequency (%)
E	104611	60.7%
T	42783	24.8%
D	13651	7.9%
P	3230	1.9%
I	3230	1.9%
X	3230	1.9%
C	1393	0.8%
O	136	0.1%
N	109	0.1%
B	33	< 0.1%

Space Separator

Value	Count	Frequency (%)
	70925	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	194	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	2076342	96.7%
Common	71119	3.3%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	232986	11.2%
i	217760	10.5%
e	186275	9.0%
s	174968	8.4%
t	161509	7.8%
r	128828	6.2%
n	128491	6.2%
o	118983	5.7%
m	118371	5.7%
d	104912	5.1%
Other values (25)	503259	24.2%

Common

Value	Count	Frequency (%)
	70925	99.7%
-	194	0.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2033922	94.7%
None	113539	5.3%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	232986	11.5%
i	217760	10.7%
e	186275	9.2%
s	174968	8.6%
t	161509	7.9%
r	128828	6.3%
n	128491	6.3%
o	118983	5.8%
m	118371	5.8%
d	104912	5.2%
Other values (20)	460839	22.7%

None

Value	Count	Frequency (%)
ê	42783	37.7%
ô	42783	37.7%
é	14008	12.3%
ó	13651	12.0%
ã	145	0.1%
í	136	0.1%
ç	33	< 0.1%

CD_CNAE_DOADOR
Real number (ℝ)

HIGH CORRELATION
MISSING

Distinct	31
Distinct (%)	< 0.1%
Missing	65274
Missing (%)	39.3%
Infinite	0
Infinite (%)	0.0%
Mean	94296.698

Minimum	17311
Maximum	94995
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.4 MiB

Quantile statistics

Minimum	17311
5-th percentile	94928
Q1	94928
median	94928
Q3	94928
95-th percentile	94928
Maximum	94995
Range	77684
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	4407.4934
Coefficient of variation (CV)	0.046740698
Kurtosis	98.670738
Mean	94296.698
Median Absolute Deviation (MAD)	0
Skewness	-8.7589557
Sum	9.5021839 × 10⁹
Variance	19425998
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=31)

Value	Count	Frequency (%)
94928	98170	59.1%
74901	1314	0.8%
63119	308	0.2%
94308	187	0.1%
62091	174	0.1%
62015	161	0.1%
62023	142	0.1%
18130	50	< 0.1%
63194	44	< 0.1%
69206	43	< 0.1%
Other values (21)	176	0.1%
(Missing)	65274	39.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
17311	1	< 0.1%
18113	19	< 0.1%
18130	50	< 0.1%
18211	9	< 0.1%
32990	4	< 0.1%
47318	2	< 0.1%
47512	2	< 0.1%
58115	22	< 0.1%
58191	1	< 0.1%
58221	3	< 0.1%

Value	Count	Frequency (%)
94995	7	< 0.1%
94928	98170	59.1%
94308	187	0.1%
94201	9	< 0.1%
93123	28	< 0.1%
85121	1	< 0.1%
82997	10	< 0.1%
82300	1	< 0.1%
74901	1314	0.8%
74200	1	< 0.1%

DS_CNAE_DOADOR
Categorical

HIGH CORRELATION
MISSING

Distinct	31
Distinct (%)	< 0.1%
Missing	65274
Missing (%)	39.3%
Memory size	13.8 MiB

Atividades de organizações políticas	98170
Atividades profissionais, científicas e técnicas não especificadas anteriormente	1314
Tratamento de dados, provedores de serviços de aplicação e serviços de hospedagem na Internet	308
Atividades de associações de defesa de direitos sociais	187
Suporte técnico, manutenção e outros serviços em tecnologia da informação	174
Other values (26)	616

Length

Max length	93
Median length	36
Mean length	36.985372
Min length	16

Characters and Unicode

Total characters	3726979
Distinct characters	45
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	5 ?
Unique (%)	< 0.1%

Sample

1st row	Atividades de organizações políticas
2nd row	Atividades de organizações políticas
3rd row	Atividades de organizações políticas
4th row	Atividades de organizações políticas
5th row	Atividades de organizações políticas

Common Values

Value	Count	Frequency (%)
Atividades de organizações políticas	98170	59.1%
Atividades profissionais, científicas e técnicas não especificadas anteriormente	1314	0.8%
Tratamento de dados, provedores de serviços de aplicação e serviços de hospedagem na Internet	308	0.2%
Atividades de associações de defesa de direitos sociais	187	0.1%
Suporte técnico, manutenção e outros serviços em tecnologia da informação	174	0.1%
Desenvolvimento de programas de computador sob encomenda	161	0.1%
Desenvolvimento e licenciamento de programas de computador customizáveis	142	0.1%
Impressão de materiais para outros usos	50	< 0.1%
Portais, provedores de conteúdo e outros serviços de informação na Internet	44	< 0.1%
Atividades de contabilidade, consultoria e auditoria contábil e tributária	43	< 0.1%
Other values (21)	176	0.1%
(Missing)	65274	39.3%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
de	100894	24.3%
atividades	99778	24.0%
organizações	98179	23.6%
políticas	98170	23.6%
e	2131	0.5%
não	1346	0.3%
anteriormente	1346	0.3%
especificadas	1342	0.3%
profissionais	1314	0.3%
científicas	1314	0.3%
Other values (96)	9417	2.3%

Most occurring characters

Value	Count	Frequency (%)
i	412453	11.1%
a	408123	11.0%
e	315918	8.5%
	314462	8.4%
s	311778	8.4%
d	304410	8.2%
o	209908	5.6%
t	207236	5.6%
n	109954	3.0%
c	108581	2.9%
Other values (35)	1024156	27.5%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	3309423	88.8%
Space Separator	314462	8.4%
Uppercase Letter	101121	2.7%
Other Punctuation	1962	0.1%
Dash Punctuation	11	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
i	412453	12.5%
a	408123	12.3%
e	315918	9.5%
s	311778	9.4%
d	304410	9.2%
o	209908	6.3%
t	207236	6.3%
n	109954	3.3%
c	108581	3.3%
r	106966	3.2%
Other values (23)	814096	24.6%

Uppercase Letter

Value	Count	Frequency (%)
A	99791	98.7%
I	421	0.4%
T	308	0.3%
D	303	0.3%
S	183	0.2%
P	44	< 0.1%
E	34	< 0.1%
C	32	< 0.1%
F	5	< 0.1%

Space Separator

Value	Count	Frequency (%)
	314462	100.0%

Other Punctuation

Value	Count	Frequency (%)
,	1962	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	11	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	3410544	91.5%
Common	316435	8.5%

Most frequent character per script

Latin

Value	Count	Frequency (%)
i	412453	12.1%
a	408123	12.0%
e	315918	9.3%
s	311778	9.1%
d	304410	8.9%
o	209908	6.2%
t	207236	6.1%
n	109954	3.2%
c	108581	3.2%
r	106966	3.1%
Other values (32)	915217	26.8%

Common

Value	Count	Frequency (%)
	314462	99.4%
,	1962	0.6%
-	11	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3425065	91.9%
None	301914	8.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
i	412453	12.0%
a	408123	11.9%
e	315918	9.2%
	314462	9.2%
s	311778	9.1%
d	304410	8.9%
o	209908	6.1%
t	207236	6.1%
n	109954	3.2%
c	108581	3.2%
Other values (25)	722242	21.1%

None

Value	Count	Frequency (%)
ç	99993	33.1%
í	99492	33.0%
õ	98385	32.6%
ã	2203	0.7%
é	1502	0.5%
á	243	0.1%
ú	44	< 0.1%
à	20	< 0.1%
ó	19	< 0.1%
ê	13	< 0.1%

NR_CPF_CNPJ_DOADOR
Real number (ℝ)

Distinct	43817
Distinct (%)	26.4%
Missing	210
Missing (%)	0.1%
Infinite	0
Infinite (%)	0.0%
Mean	1.7282522 × 10¹³

Minimum	0
Maximum	7.4011958 × 10¹³
Zeros	2
Zeros (%)	< 0.1%
Negative	0
Negative (%)	0.0%
Memory size	1.4 MiB

Quantile statistics

Minimum	0
5-th percentile	2.6829489 × 10⁹
Q1	1.6098822 × 10¹⁰
median	8.943332 × 10¹²
Q3	3.8607109 × 10¹³
95-th percentile	3.9127067 × 10¹³
Maximum	7.4011958 × 10¹³
Range	7.4011958 × 10¹³
Interquartile range (IQR)	3.859101 × 10¹³

Descriptive statistics

Standard deviation	1.7541135 × 10¹³
Coefficient of variation (CV)	1.0149638
Kurtosis	-1.6739345
Mean	1.7282522 × 10¹³
Median Absolute Deviation (MAD)	8.9402028 × 10¹²
Skewness	0.27847389
Sum	2.8660124 × 10¹⁸
Variance	3.076914 × 10²⁶
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
38957760000164.0	2158	1.3%
7959911000190.0	1934	1.2%
31192176000116.0	1828	1.1%
38757309000101.0	1742	1.0%
31208533000197.0	1248	0.8%
3518656000199.0	1166	0.7%
39127067000127.0	1153	0.7%
8049726000120.0	1133	0.7%
2144766000175.0	1024	0.6%
21214898000170.0	970	0.6%
Other values (43807)	151477	91.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0.0	2	< 0.1%
1.0	1	< 0.1%
2.0	1	< 0.1%
5.0	1	< 0.1%
6.0	1	< 0.1%
7.0	1	< 0.1%
9.0	1	< 0.1%
10.0	1	< 0.1%
1277790.0	1	< 0.1%
2447754.0	1	< 0.1%

Value	Count	Frequency (%)
74011958000114.0	1	< 0.1%
73282907000245.0	38	< 0.1%
73282907000164.0	10	< 0.1%
59933952000100.0	248	0.1%
54956495000156.0	357	0.2%
47744630000134.0	319	0.2%
47582560000165.0	12	< 0.1%
47582513000111.0	1	< 0.1%
47582503000186.0	1	< 0.1%
47582496000112.0	1	< 0.1%

NM_DOADOR
Categorical

Distinct	47664
Distinct (%)	28.7%
Missing	210
Missing (%)	0.1%
Memory size	15.4 MiB

Direção Municipal/Comissão Provisória	16728
Direção Estadual/Distrital	14382
Direção Nacional	5524
ELEIÇÃO 2020 WAGNER DOS SANTOS CARNEIRO PREFEITO	1261
JORGE LUCIO FERREIRA MIRANDA	741
Other values (47659)	127197

Length

Max length	150
Median length	70
Mean length	30.40261
Min length	1

Characters and Unicode

Total characters	5041756
Distinct characters	89
Distinct categories	10 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	35235 ?
Unique (%)	21.2%

Sample

1st row	ANDRE LUIZ ISSA VIEIRA
2nd row	ALEX DE PAULA OLIVEIRA
3rd row	UBIRAJARA PIMENTEL CANDIDO
4th row	CRISTIANO DE FREITAS NEVES
5th row	FERNANDO NASCENTES PIRES

Common Values

Value	Count	Frequency (%)
Direção Municipal/Comissão Provisória	16728	10.1%
Direção Estadual/Distrital	14382	8.7%
Direção Nacional	5524	3.3%
ELEIÇÃO 2020 WAGNER DOS SANTOS CARNEIRO PREFEITO	1261	0.8%
JORGE LUCIO FERREIRA MIRANDA	741	0.4%
ELEICAO 2020 ANTONIO FRANCISCO NETO	721	0.4%
ELEICAO 2020 RAFAEL PAES BARBOSA DINIZ NOGUEIRA PREFEITO	692	0.4%
ELEIÇÃO 2018 WILSON JOSE WITZEL GOVERNADOR	584	0.4%
JOSE BONIFACIO FERREIRA NOVELLINO	564	0.3%
LUIZ ANTONIO DANTAS RIBEIRO	532	0.3%
Other values (47654)	124104	74.7%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
direção	36983	5.4%
de	28682	4.2%
2020	25588	3.7%
da	20356	3.0%
prefeito	18747	2.7%
eleição	17643	2.6%
provisória	16802	2.5%
municipal/comissão	16802	2.5%
silva	16285	2.4%
estadual/distrital	14425	2.1%
Other values (16154)	473372	69.0%

Most occurring characters

Value	Count	Frequency (%)
	535773	10.6%
E	433425	8.6%
A	427487	8.5%
O	329747	6.5%
I	309520	6.1%
R	285088	5.7%
D	209649	4.2%
S	204405	4.1%
L	197122	3.9%
N	163525	3.2%
Other values (79)	1946015	38.6%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	3434956	68.1%
Lowercase Letter	891750	17.7%
Space Separator	535773	10.6%
Decimal Number	143645	2.8%
Other Punctuation	34113	0.7%
Dash Punctuation	1496	< 0.1%
Close Punctuation	11	< 0.1%
Open Punctuation	10	< 0.1%
Currency Symbol	1	< 0.1%
Other Symbol	1	< 0.1%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
E	433425	12.6%
A	427487	12.4%
O	329747	9.6%
I	309520	9.0%
R	285088	8.3%
D	209649	6.1%
S	204405	6.0%
L	197122	5.7%
N	163525	4.8%
C	119539	3.5%
Other values (27)	755449	22.0%

Lowercase Letter

Value	Count	Frequency (%)
i	156262	17.5%
o	94566	10.6%
a	89624	10.1%
r	85454	9.6%
s	79418	8.9%
ã	53362	6.0%
l	51773	5.8%
t	43854	4.9%
e	38668	4.3%
ç	36652	4.1%
Other values (20)	162117	18.2%

Decimal Number

Value	Count	Frequency (%)
2	64328	44.8%
0	62468	43.5%
1	8273	5.8%
8	8251	5.7%
3	70	< 0.1%
7	66	< 0.1%
5	65	< 0.1%
9	52	< 0.1%
4	41	< 0.1%
6	31	< 0.1%

Other Punctuation

Value	Count	Frequency (%)
/	31261	91.6%
.	2807	8.2%
·	32	0.1%
?	12	< 0.1%
:	1	< 0.1%

Close Punctuation

Value	Count	Frequency (%)
)	10	90.9%
]	1	9.1%

Space Separator

Value	Count	Frequency (%)
	535773	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	1496	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	10	100.0%

Currency Symbol

Value	Count	Frequency (%)
£	1	100.0%

Other Symbol

Value	Count	Frequency (%)
©	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	4326706	85.8%
Common	715050	14.2%

Most frequent character per script

Latin

Value	Count	Frequency (%)
E	433425	10.0%
A	427487	9.9%
O	329747	7.6%
I	309520	7.2%
R	285088	6.6%
D	209649	4.8%
S	204405	4.7%
L	197122	4.6%
N	163525	3.8%
i	156262	3.6%
Other values (57)	1610476	37.2%

Common

Value	Count	Frequency (%)
	535773	74.9%
2	64328	9.0%
0	62468	8.7%
/	31261	4.4%
1	8273	1.2%
8	8251	1.2%
.	2807	0.4%
-	1496	0.2%
3	70	< 0.1%
7	66	< 0.1%
Other values (12)	257	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	4875466	96.7%
None	166290	3.3%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	535773	11.0%
E	433425	8.9%
A	427487	8.8%
O	329747	6.8%
I	309520	6.3%
R	285088	5.8%
D	209649	4.3%
S	204405	4.2%
L	197122	4.0%
N	163525	3.4%
Other values (61)	1779725	36.5%

None

Value	Count	Frequency (%)
ã	53362	32.1%
ç	36652	22.0%
Ç	26294	15.8%
Ã	22841	13.7%
ó	16728	10.1%
Õ	3478	2.1%
É	3335	2.0%
Á	879	0.5%
Ô	715	0.4%
Í	662	0.4%
Other values (8)	1344	0.8%

NM_DOADOR_RFB
Categorical

Distinct	43540
Distinct (%)	26.3%
Missing	246
Missing (%)	0.1%
Memory size	15.2 MiB

ELEICAO 2020 ALEXANDRE AUGUSTUS SERFIOTIS PREFEITO	2158
REPUBLICANOS - RIO DE JANEIRO - RJ - ESTADUAL	1934
ELEICAO 2018 EDUARDO DA COSTA PAES GOVERNADOR	1828
ELEICAO 2020 WAGNER DOS SANTOS CARNEIRO PREFEITO	1742
ELEICAO 2018 WILSON JOSE WITZEL GOVERNADOR	1248
Other values (43535)	156887

Length

Max length	95
Median length	74
Mean length	39.20232
Min length	6

Characters and Unicode

Total characters	6499627
Distinct characters	43
Distinct categories	7 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	32057 ?
Unique (%)	19.3%

Sample

1st row	ANDRE LUIZ ISSA VIEIRA
2nd row	ALEX DE PAULA OLIVEIRA
3rd row	UBIRAJARA PIMENTEL CANDIDO
4th row	CRISTIANO DE FREITAS NEVES
5th row	FERNANDO NASCENTES PIRES

Common Values

Value	Count	Frequency (%)
ELEICAO 2020 ALEXANDRE AUGUSTUS SERFIOTIS PREFEITO	2158	1.3%
REPUBLICANOS - RIO DE JANEIRO - RJ - ESTADUAL	1934	1.2%
ELEICAO 2018 EDUARDO DA COSTA PAES GOVERNADOR	1828	1.1%
ELEICAO 2020 WAGNER DOS SANTOS CARNEIRO PREFEITO	1742	1.0%
ELEICAO 2018 WILSON JOSE WITZEL GOVERNADOR	1248	0.8%
ELEICAO 2020 RAFAEL PAES BARBOSA DINIZ NOGUEIRA PREFEITO	1153	0.7%
DEMOCRACIA CRISTA - RIO DE JANEIRO - RJ - ESTADUAL	1024	0.6%
PARTIDO SOCIALISMO E LIBERDADE - RIO DE JANEIRO - RJ - ESTADUAL	969	0.6%
CIDADANIA - 23 - ESTADUAL - RJ	949	0.6%
PARTIDO TRABALHISTA BRASILEIRO RIO DE JANEIRO RJ ESTADUAL	941	0.6%
Other values (43530)	151851	91.5%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
eleicao	61647	6.3%
2020	47108	4.8%
	46124	4.7%
prefeito	45758	4.7%
de	44379	4.6%
da	24941	2.6%
partido	23540	2.4%
silva	16904	1.7%
rj	14978	1.5%
do	14426	1.5%
Other values (14421)	631499	65.0%

Most occurring characters

Value	Count	Frequency (%)
	808347	12.4%
A	702413	10.8%
E	653670	10.1%
O	572279	8.8%
I	552389	8.5%
R	489589	7.5%
L	303958	4.7%
S	297872	4.6%
D	288977	4.4%
T	238866	3.7%
Other values (33)	1591267	24.5%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	5385192	82.9%
Space Separator	808347	12.4%
Decimal Number	249839	3.8%
Dash Punctuation	53517	0.8%
Other Punctuation	1248	< 0.1%
Open Punctuation	742	< 0.1%
Close Punctuation	742	< 0.1%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
A	702413	13.0%
E	653670	12.1%
O	572279	10.6%
I	552389	10.3%
R	489589	9.1%
L	303958	5.6%
S	297872	5.5%
D	288977	5.4%
T	238866	4.4%
C	220955	4.1%
Other values (16)	1064224	19.8%

Decimal Number

Value	Count	Frequency (%)
2	113199	45.3%
0	109092	43.7%
1	13264	5.3%
8	12966	5.2%
3	958	0.4%
5	325	0.1%
4	13	< 0.1%
7	13	< 0.1%
6	7	< 0.1%
9	2	< 0.1%

Other Punctuation

Value	Count	Frequency (%)
/	634	50.8%
.	602	48.2%
,	12	1.0%

Space Separator

Value	Count	Frequency (%)
	808347	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	53517	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	742	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	742	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	5385192	82.9%
Common	1114435	17.1%

Most frequent character per script

Latin

Value	Count	Frequency (%)
A	702413	13.0%
E	653670	12.1%
O	572279	10.6%
I	552389	10.3%
R	489589	9.1%
L	303958	5.6%
S	297872	5.5%
D	288977	5.4%
T	238866	4.4%
C	220955	4.1%
Other values (16)	1064224	19.8%

Common

Value	Count	Frequency (%)
	808347	72.5%
2	113199	10.2%
0	109092	9.8%
-	53517	4.8%
1	13264	1.2%
8	12966	1.2%
3	958	0.1%
(	742	0.1%
)	742	0.1%
/	634	0.1%
Other values (7)	974	0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	6499627	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	808347	12.4%
A	702413	10.8%
E	653670	10.1%
O	572279	8.8%
I	552389	8.5%
R	489589	7.5%
L	303958	4.7%
S	297872	4.6%
D	288977	4.4%
T	238866	3.7%
Other values (33)	1591267	24.5%

CD_ESFERA_PARTIDARIA_DOADOR
Categorical

HIGH CORRELATION
MISSING

Distinct	3
Distinct (%)	< 0.1%
Missing	129053
Missing (%)	77.7%
Memory size	7.0 MiB

M	16802
F	14430
N	5758

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	36990
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	N
2nd row	F
3rd row	F
4th row	F
5th row	F

Common Values

Value	Count	Frequency (%)
M	16802	10.1%
F	14430	8.7%
N	5758	3.5%
(Missing)	129053	77.7%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
m	16802	45.4%
f	14430	39.0%
n	5758	15.6%

Most occurring characters

Value	Count	Frequency (%)
M	16802	45.4%
F	14430	39.0%
N	5758	15.6%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	36990	100.0%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
M	16802	45.4%
F	14430	39.0%
N	5758	15.6%

Most occurring scripts

Value	Count	Frequency (%)
Latin	36990	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
M	16802	45.4%
F	14430	39.0%
N	5758	15.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	36990	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
M	16802	45.4%
F	14430	39.0%
N	5758	15.6%

DS_ESFERA_PARTIDARIA_DOADOR
Categorical

HIGH CORRELATION
MISSING

Distinct	3
Distinct (%)	< 0.1%
Missing	129053
Missing (%)	77.7%
Memory size	7.5 MiB

Municipal	16802
Federal (Estadual/Distrital)	14430
Nacional	5758

Length

Max length	28
Median length	9
Mean length	16.25634
Min length	8

Characters and Unicode

Total characters	601322
Distinct characters	22
Distinct categories	6 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Nacional
2nd row	Federal (Estadual/Distrital)
3rd row	Federal (Estadual/Distrital)
4th row	Federal (Estadual/Distrital)
5th row	Federal (Estadual/Distrital)

Common Values

Value	Count	Frequency (%)
Municipal	16802	10.1%
Federal (Estadual/Distrital)	14430	8.7%
Nacional	5758	3.5%
(Missing)	129053	77.7%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
municipal	16802	32.7%
federal	14430	28.1%
estadual/distrital	14430	28.1%
nacional	5758	11.2%

Most occurring characters

Value	Count	Frequency (%)
a	86038	14.3%
i	68222	11.3%
l	65850	11.0%
t	43290	7.2%
u	31232	5.2%
r	28860	4.8%
s	28860	4.8%
e	28860	4.8%
d	28860	4.8%
n	22560	3.8%
Other values (12)	168690	28.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	477752	79.5%
Uppercase Letter	65850	11.0%
Space Separator	14430	2.4%
Open Punctuation	14430	2.4%
Other Punctuation	14430	2.4%
Close Punctuation	14430	2.4%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	86038	18.0%
i	68222	14.3%
l	65850	13.8%
t	43290	9.1%
u	31232	6.5%
r	28860	6.0%
s	28860	6.0%
e	28860	6.0%
d	28860	6.0%
n	22560	4.7%
Other values (3)	45120	9.4%

Uppercase Letter

Value	Count	Frequency (%)
M	16802	25.5%
E	14430	21.9%
F	14430	21.9%
D	14430	21.9%
N	5758	8.7%

Space Separator

Value	Count	Frequency (%)
	14430	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	14430	100.0%

Other Punctuation

Value	Count	Frequency (%)
/	14430	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	14430	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	543602	90.4%
Common	57720	9.6%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	86038	15.8%
i	68222	12.5%
l	65850	12.1%
t	43290	8.0%
u	31232	5.7%
r	28860	5.3%
s	28860	5.3%
e	28860	5.3%
d	28860	5.3%
n	22560	4.2%
Other values (8)	110970	20.4%

Common

Value	Count	Frequency (%)
	14430	25.0%
(	14430	25.0%
/	14430	25.0%
)	14430	25.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	601322	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	86038	14.3%
i	68222	11.3%
l	65850	11.0%
t	43290	7.2%
u	31232	5.2%
r	28860	4.8%
s	28860	4.8%
e	28860	4.8%
d	28860	4.8%
n	22560	3.8%
Other values (12)	168690	28.1%

SG_UF_DOADOR
Categorical

HIGH CORRELATION
MISSING

Distinct	10
Distinct (%)	< 0.1%
Missing	50163
Missing (%)	30.2%
Memory size	8.4 MiB

RJ	110080
BR	5763
MG	11
MA	8
PI	7
Other values (5)	11

Length

Max length	2
Median length	2
Mean length	2
Min length	2

Characters and Unicode

Total characters	231760
Distinct characters	13
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	< 0.1%

Sample

1st row	RJ
2nd row	RJ
3rd row	RJ
4th row	RJ
5th row	RJ

Common Values

Value	Count	Frequency (%)
RJ	110080	66.3%
BR	5763	3.5%
MG	11	< 0.1%
MA	8	< 0.1%
PI	7	< 0.1%
DF	4	< 0.1%
SP	2	< 0.1%
PR	2	< 0.1%
ES	2	< 0.1%
MT	1	< 0.1%
(Missing)	50163	30.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
rj	110080	95.0%
br	5763	5.0%
mg	11	< 0.1%
ma	8	< 0.1%
pi	7	< 0.1%
df	4	< 0.1%
sp	2	< 0.1%
pr	2	< 0.1%
es	2	< 0.1%
mt	1	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
R	115845	50.0%
J	110080	47.5%
B	5763	2.5%
M	20	< 0.1%
G	11	< 0.1%
P	11	< 0.1%
A	8	< 0.1%
I	7	< 0.1%
D	4	< 0.1%
F	4	< 0.1%
Other values (3)	7	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	231760	100.0%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
R	115845	50.0%
J	110080	47.5%
B	5763	2.5%
M	20	< 0.1%
G	11	< 0.1%
P	11	< 0.1%
A	8	< 0.1%
I	7	< 0.1%
D	4	< 0.1%
F	4	< 0.1%
Other values (3)	7	< 0.1%

Most occurring scripts

Value	Count	Frequency (%)
Latin	231760	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
R	115845	50.0%
J	110080	47.5%
B	5763	2.5%
M	20	< 0.1%
G	11	< 0.1%
P	11	< 0.1%
A	8	< 0.1%
I	7	< 0.1%
D	4	< 0.1%
F	4	< 0.1%
Other values (3)	7	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	231760	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
R	115845	50.0%
J	110080	47.5%
B	5763	2.5%
M	20	< 0.1%
G	11	< 0.1%
P	11	< 0.1%
A	8	< 0.1%
I	7	< 0.1%
D	4	< 0.1%
F	4	< 0.1%
Other values (3)	7	< 0.1%

CD_MUNICIPIO_DOADOR
Real number (ℝ)

HIGH CORRELATION
MISSING
SKEWED

Distinct	95
Distinct (%)	0.1%
Missing	89465
Missing (%)	53.9%
Infinite	0
Infinite (%)	0.0%
Mean	58638.479

Minimum	8257
Maximum	97012
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.4 MiB

Quantile statistics

Minimum	8257
5-th percentile	58041
Q1	58190
median	58491
Q3	58971
95-th percentile	60011
Maximum	97012
Range	88755
Interquartile range (IQR)	781

Descriptive statistics

Standard deviation	792.57314
Coefficient of variation (CV)	0.013516264
Kurtosis	1809.2458
Mean	58638.479
Median Absolute Deviation (MAD)	340
Skewness	-26.439158
Sum	4.4904174 × 10⁹
Variance	628172.18
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
60011	6136	3.7%
58190	5203	3.1%
58076	2989	1.8%
58327	2877	1.7%
58041	2541	1.5%
58653	2324	1.4%
59250	2186	1.3%
58670	1938	1.2%
58971	1855	1.1%
59153	1786	1.1%
Other values (85)	46743	28.2%
(Missing)	89465	53.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
8257	8	< 0.1%
40290	9	< 0.1%
58009	910	0.5%
58017	905	0.5%
58025	487	0.3%
58033	1333	0.8%
58041	2541	1.5%
58050	736	0.4%
58068	593	0.4%
58076	2989	1.8%

Value	Count	Frequency (%)
97012	1	< 0.1%
60011	6136	3.7%
59331	180	0.1%
59315	651	0.4%
59293	340	0.2%
59277	315	0.2%
59250	2186	1.3%
59234	578	0.3%
59218	596	0.4%
59196	1480	0.9%

NM_MUNICIPIO_DOADOR
Categorical

HIGH CARDINALITY
HIGH CORRELATION
MISSING

Distinct	95
Distinct (%)	0.1%
Missing	89465
Missing (%)	53.9%
Memory size	9.0 MiB

RIO DE JANEIRO	6136
CAMPOS DOS GOYTACAZES	5203
BARRA MANSA	2989
PORTO REAL	2877
BELFORD ROXO	2541
Other values (90)	56832

Length

Max length	29
Median length	22
Mean length	11.934603
Min length	4

Characters and Unicode

Total characters	913928
Distinct characters	35
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	< 0.1%

Sample

1st row	RIO DE JANEIRO
2nd row	RIO DE JANEIRO
3rd row	RIO DE JANEIRO
4th row	RIO DE JANEIRO
5th row	RIO DE JANEIRO

Common Values

Value	Count	Frequency (%)
RIO DE JANEIRO	6136	3.7%
CAMPOS DOS GOYTACAZES	5203	3.1%
BARRA MANSA	2989	1.8%
PORTO REAL	2877	1.7%
BELFORD ROXO	2541	1.5%
NITERÓI	2324	1.4%
VOLTA REDONDA	2186	1.3%
NOVA FRIBURGO	1938	1.2%
SÃO GONÇALO	1855	1.1%
TERESÓPOLIS	1786	1.1%
Other values (85)	46743	28.2%
(Missing)	89465	53.9%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
de	10496	6.8%
rio	8609	5.6%
dos	6588	4.3%
são	6197	4.0%
janeiro	6136	4.0%
campos	5203	3.4%
goytacazes	5203	3.4%
barra	4962	3.2%
do	3504	2.3%
mansa	2989	1.9%
Other values (128)	94034	61.1%

Most occurring characters

Value	Count	Frequency (%)
A	127487	13.9%
O	99206	10.9%
R	83268	9.1%
	77343	8.5%
E	62500	6.8%
S	59969	6.6%
I	59648	6.5%
D	41984	4.6%
N	32474	3.6%
T	30768	3.4%
Other values (25)	239281	26.2%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	836437	91.5%
Space Separator	77343	8.5%
Dash Punctuation	148	< 0.1%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
A	127487	15.2%
O	99206	11.9%
R	83268	10.0%
E	62500	7.5%
S	59969	7.2%
I	59648	7.1%
D	41984	5.0%
N	32474	3.9%
T	30768	3.7%
M	27446	3.3%
Other values (23)	211687	25.3%

Space Separator

Value	Count	Frequency (%)
	77343	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	148	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	836437	91.5%
Common	77491	8.5%

Most frequent character per script

Latin

Value	Count	Frequency (%)
A	127487	15.2%
O	99206	11.9%
R	83268	10.0%
E	62500	7.5%
S	59969	7.2%
I	59648	7.1%
D	41984	5.0%
N	32474	3.9%
T	30768	3.7%
M	27446	3.3%
Other values (23)	211687	25.3%

Common

Value	Count	Frequency (%)
	77343	99.8%
-	148	0.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	881447	96.4%
None	32481	3.6%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
A	127487	14.5%
O	99206	11.3%
R	83268	9.4%
	77343	8.8%
E	62500	7.1%
S	59969	6.8%
I	59648	6.8%
D	41984	4.8%
N	32474	3.7%
T	30768	3.5%
Other values (16)	206800	23.5%

None

Value	Count	Frequency (%)
Ã	9697	29.9%
Ó	6199	19.1%
É	4333	13.3%
Ç	4090	12.6%
Í	3557	11.0%
Á	1953	6.0%
Ê	1480	4.6%
Ú	704	2.2%
Ô	468	1.4%

SQ_CANDIDATO_DOADOR
Real number (ℝ)

HIGH CORRELATION
MISSING
SKEWED

Distinct	8826
Distinct (%)	11.4%
Missing	88401
Missing (%)	53.2%
Infinite	0
Infinite (%)	0.0%
Mean	1.9000707 × 10¹¹

Minimum	1.300016 × 10¹¹
Maximum	2.8000063 × 10¹¹
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.4 MiB

Quantile statistics

Minimum	1.300016 × 10¹¹
5-th percentile	1.9000061 × 10¹¹
Q1	1.9000066 × 10¹¹
median	1.9000085 × 10¹¹
Q3	1.9000108 × 10¹¹
95-th percentile	1.9000124 × 10¹¹
Maximum	2.8000063 × 10¹¹
Range	1.4999903 × 10¹¹
Interquartile range (IQR)	425691.75

Descriptive statistics

Standard deviation	8.1992815 × 10⁸
Coefficient of variation (CV)	0.0043152507
Kurtosis	11582.438
Mean	1.9000707 × 10¹¹
Median Absolute Deviation (MAD)	208698.5
Skewness	97.134321
Sum	1.4752529 × 10¹⁶
Variance	6.7228217 × 10¹⁷
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
190001081726.0	2161	1.3%
190000609934.0	1786	1.1%
190000852962.0	1729	1.0%
190000612301.0	1244	0.7%
190001131601.0	1154	0.7%
190000863537.0	828	0.5%
190001131229.0	808	0.5%
190000662122.0	767	0.5%
190000706493.0	749	0.5%
190001224983.0	749	0.5%
Other values (8816)	65667	39.5%
(Missing)	88401	53.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
130001598359.0	1	< 0.1%
190000601071.0	16	< 0.1%
190000601072.0	1	< 0.1%
190000601073.0	7	< 0.1%
190000601074.0	2	< 0.1%
190000601075.0	3	< 0.1%
190000601078.0	11	< 0.1%
190000601081.0	1	< 0.1%
190000601083.0	4	< 0.1%
190000601084.0	2	< 0.1%

Value	Count	Frequency (%)
280000629808.0	1	< 0.1%
280000622281.0	1	< 0.1%
280000614517.0	4	< 0.1%
190001739242.0	1	< 0.1%
190001737551.0	2	< 0.1%
190001732486.0	1	< 0.1%
190001732303.0	1	< 0.1%
190001731347.0	1	< 0.1%
190001731148.0	2	< 0.1%
190001730176.0	319	0.2%

NR_CANDIDATO_DOADOR
Real number (ℝ)

HIGH CORRELATION
MISSING

Distinct	3828
Distinct (%)	4.9%
Missing	87152
Missing (%)	52.5%
Infinite	0
Infinite (%)	0.0%
Mean	7649.999

Minimum	10
Maximum	90999
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.4 MiB

Quantile statistics

Minimum	10
5-th percentile	11
Q1	20
median	36
Q3	4439
95-th percentile	51067.5
Maximum	90999
Range	90989
Interquartile range (IQR)	4419

Descriptive statistics

Standard deviation	17032.044
Coefficient of variation (CV)	2.2264112
Kurtosis	7.4401373
Mean	7649.999
Median Absolute Deviation (MAD)	24
Skewness	2.7565481
Sum	6.0351607 × 10⁸
Variance	2.9009052 × 10⁸
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
20	6030	3.6%
55	5613	3.4%
22	5320	3.2%
25	5192	3.1%
12	4854	2.9%
15	3742	2.3%
23	3232	1.9%
11	3125	1.9%
77	3085	1.9%
13	2780	1.7%
Other values (3818)	35918	21.6%
(Missing)	87152	52.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
10	2065	1.2%
11	3125	1.9%
12	4854	2.9%
13	2780	1.7%
14	252	0.2%
15	3742	2.3%
16	37	< 0.1%
17	917	0.6%
18	205	0.1%
19	515	0.3%

Value	Count	Frequency (%)
90999	25	< 0.1%
90990	1	< 0.1%
90963	1	< 0.1%
90951	2	< 0.1%
90909	6	< 0.1%
90901	1	< 0.1%
90900	10	< 0.1%
90888	3	< 0.1%
90852	3	< 0.1%
90800	3	< 0.1%

CD_CARGO_CANDIDATO_DOADOR
Real number (ℝ)

HIGH CORRELATION
MISSING

Distinct	11
Distinct (%)	< 0.1%
Missing	87152
Missing (%)	52.5%
Infinite	0
Infinite (%)	0.0%
Mean	9.9948537

Minimum	1
Maximum	13
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.4 MiB

Quantile statistics

Minimum	1
5-th percentile	3
Q1	11
median	11
Q3	11
95-th percentile	13
Maximum	13
Range	12
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	2.7343626
Coefficient of variation (CV)	0.27357705
Kurtosis	0.36616807
Mean	9.9948537
Median Absolute Deviation (MAD)	0
Skewness	-1.1974585
Sum	788504
Variance	7.4767386
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=11)

Value	Count	Frequency (%)
11	46383	27.9%
13	12557	7.6%
6	9477	5.7%
7	4399	2.6%
3	4298	2.6%
5	832	0.5%
12	815	0.5%
4	113	0.1%
9	7	< 0.1%
1	6	< 0.1%
(Missing)	87152	52.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	6	< 0.1%
3	4298	2.6%
4	113	0.1%
5	832	0.5%
6	9477	5.7%
7	4399	2.6%
9	7	< 0.1%
10	4	< 0.1%
11	46383	27.9%
12	815	0.5%

Value	Count	Frequency (%)
13	12557	7.6%
12	815	0.5%
11	46383	27.9%
10	4	< 0.1%
9	7	< 0.1%
7	4399	2.6%
6	9477	5.7%
5	832	0.5%
4	113	0.1%
3	4298	2.6%

DS_CARGO_CANDIDATO_DOADOR
Categorical

HIGH CORRELATION
MISSING

Distinct	11
Distinct (%)	< 0.1%
Missing	87152
Missing (%)	52.5%
Memory size	8.3 MiB

Prefeito	46383
Vereador	12557
Deputado Federal	9477
Deputado Estadual	4399
Governador	4298
Other values (6)	1777

Length

Max length	17
Median length	8
Mean length	9.6235312
Min length	7

Characters and Unicode

Total characters	759210
Distinct characters	28
Distinct categories	6 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Deputado Estadual
2nd row	Deputado Estadual
3rd row	Deputado Federal
4th row	Deputado Federal
5th row	Deputado Estadual

Common Values

Value	Count	Frequency (%)
Prefeito	46383	27.9%
Vereador	12557	7.6%
Deputado Federal	9477	5.7%
Deputado Estadual	4399	2.6%
Governador	4298	2.6%
Senador	832	0.5%
Vice-prefeito	815	0.5%
Vice-governador	113	0.1%
1º Suplente	7	< 0.1%
Presidente	6	< 0.1%
(Missing)	87152	52.5%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
prefeito	46383	50.0%
deputado	13876	15.0%
vereador	12557	13.5%
federal	9477	10.2%
estadual	4399	4.7%
governador	4298	4.6%
senador	832	0.9%
vice-prefeito	815	0.9%
vice-governador	113	0.1%
suplente	11	< 0.1%
Other values (3)	17	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
e	158551	20.9%
r	91449	12.0%
o	83285	11.0%
t	65490	8.6%
a	49951	6.6%
i	48132	6.3%
f	47198	6.2%
P	46389	6.1%
d	45558	6.0%
u	18286	2.4%
Other values (18)	104921	13.8%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	651606	85.8%
Uppercase Letter	92767	12.2%
Space Separator	13887	1.8%
Dash Punctuation	928	0.1%
Other Letter	11	< 0.1%
Decimal Number	11	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	158551	24.3%
r	91449	14.0%
o	83285	12.8%
t	65490	10.1%
a	49951	7.7%
i	48132	7.4%
f	47198	7.2%
d	45558	7.0%
u	18286	2.8%
p	14702	2.3%
Other values (6)	29004	4.5%

Uppercase Letter

Value	Count	Frequency (%)
P	46389	50.0%
D	13876	15.0%
V	13485	14.5%
F	9477	10.2%
E	4399	4.7%
G	4298	4.6%
S	843	0.9%

Decimal Number

Value	Count	Frequency (%)
1	7	63.6%
2	4	36.4%

Space Separator

Value	Count	Frequency (%)
	13887	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	928	100.0%

Other Letter

Value	Count	Frequency (%)
º	11	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	744384	98.0%
Common	14826	2.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	158551	21.3%
r	91449	12.3%
o	83285	11.2%
t	65490	8.8%
a	49951	6.7%
i	48132	6.5%
f	47198	6.3%
P	46389	6.2%
d	45558	6.1%
u	18286	2.5%
Other values (14)	90095	12.1%

Common

Value	Count	Frequency (%)
	13887	93.7%
-	928	6.3%
1	7	< 0.1%
2	4	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	759199	> 99.9%
None	11	< 0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	158551	20.9%
r	91449	12.0%
o	83285	11.0%
t	65490	8.6%
a	49951	6.6%
i	48132	6.3%
f	47198	6.2%
P	46389	6.1%
d	45558	6.0%
u	18286	2.4%
Other values (17)	104910	13.8%

None

Value	Count	Frequency (%)
º	11	100.0%

NR_PARTIDO_DOADOR
Real number (ℝ)

HIGH CORRELATION
MISSING

Distinct	36
Distinct (%)	< 0.1%
Missing	50202
Missing (%)	30.2%
Infinite	0
Infinite (%)	0.0%
Mean	29.857356

Minimum	10
Maximum	90
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.4 MiB

Quantile statistics

Minimum	10
5-th percentile	10
Q1	15
median	22
Q3	44
95-th percentile	77
Maximum	90
Range	80
Interquartile range (IQR)	29

Descriptive statistics

Standard deviation	19.832443
Coefficient of variation (CV)	0.66423975
Kurtosis	0.50628602
Mean	29.857356
Median Absolute Deviation (MAD)	9
Skewness	1.1887696
Sum	3458706
Variance	393.32579
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=36)

Value	Count	Frequency (%)
55	10400	6.3%
25	9564	5.8%
20	8741	5.3%
22	8352	5.0%
12	7205	4.3%
11	6838	4.1%
15	6828	4.1%
10	5891	3.5%
23	5158	3.1%
13	5119	3.1%
Other values (26)	41745	25.1%
(Missing)	50202	30.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
10	5891	3.5%
11	6838	4.1%
12	7205	4.3%
13	5119	3.1%
14	3259	2.0%
15	6828	4.1%
16	143	0.1%
17	3675	2.2%
18	1130	0.7%
19	1717	1.0%

Value	Count	Frequency (%)
90	1720	1.0%
80	101	0.1%
77	5035	3.0%
70	1376	0.8%
65	1391	0.8%
55	10400	6.3%
54	121	0.1%
51	2178	1.3%
50	2871	1.7%
45	3086	1.9%

SG_PARTIDO_DOADOR
Categorical

HIGH CORRELATION
MISSING

Distinct	41
Distinct (%)	< 0.1%
Missing	50202
Missing (%)	30.2%
Memory size	8.7 MiB

PSD	10400
DEM	9564
PSC	8741
PDT	7205
PL	7115
Other values (36)	72816

Length

Max length	13
Median length	3
Mean length	4.1397605
Min length	2

Characters and Unicode

Total characters	479554
Distinct characters	22
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	REDE
2nd row	REDE
3rd row	PT
4th row	PT
5th row	PT

Common Values

Value	Count	Frequency (%)
PSD	10400	6.3%
DEM	9564	5.8%
PSC	8741	5.3%
PDT	7205	4.3%
PL	7115	4.3%
PP	6838	4.1%
MDB	6828	4.1%
PT	5119	3.1%
SOLIDARIEDADE	5035	3.0%
CIDADANIA	4986	3.0%
Other values (31)	44010	26.5%
(Missing)	50202	30.2%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
psd	10400	8.8%
dem	9564	8.1%
psc	8741	7.4%
pdt	7205	6.1%
pl	7115	6.0%
pp	6838	5.8%
mdb	6828	5.8%
pt	5119	4.3%
solidariedade	5035	4.2%
cidadania	4986	4.2%
Other values (33)	46792	39.4%

Most occurring characters

Value	Count	Frequency (%)
P	90583	18.9%
D	67526	14.1%
S	42841	8.9%
A	36926	7.7%
E	29556	6.2%
I	27617	5.8%
B	25840	5.4%
T	24068	5.0%
L	23386	4.9%
C	23280	4.9%
Other values (12)	87931	18.3%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	473990	98.8%
Space Separator	2782	0.6%
Lowercase Letter	2782	0.6%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
P	90583	19.1%
D	67526	14.2%
S	42841	9.0%
A	36926	7.8%
E	29556	6.2%
I	27617	5.8%
B	25840	5.5%
T	24068	5.1%
L	23386	4.9%
C	23280	4.9%
Other values (9)	82367	17.4%

Lowercase Letter

Value	Count	Frequency (%)
d	1391	50.0%
o	1391	50.0%

Space Separator

Value	Count	Frequency (%)
	2782	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	476772	99.4%
Common	2782	0.6%

Most frequent character per script

Latin

Value	Count	Frequency (%)
P	90583	19.0%
D	67526	14.2%
S	42841	9.0%
A	36926	7.7%
E	29556	6.2%
I	27617	5.8%
B	25840	5.4%
T	24068	5.0%
L	23386	4.9%
C	23280	4.9%
Other values (11)	85149	17.9%

Common

Value	Count	Frequency (%)
	2782	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	478947	99.9%
None	607	0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
P	90583	18.9%
D	67526	14.1%
S	42841	8.9%
A	36926	7.7%
E	29556	6.2%
I	27617	5.8%
B	25840	5.4%
T	24068	5.0%
L	23386	4.9%
C	23280	4.9%
Other values (11)	87324	18.2%

None

Value	Count	Frequency (%)
Ã	607	100.0%

NM_PARTIDO_DOADOR
Categorical

HIGH CORRELATION
MISSING

Distinct	42
Distinct (%)	< 0.1%
Missing	50202
Missing (%)	30.2%
Memory size	11.5 MiB

Partido Social Democrático	10400
Democratas	9564
Partido Social Cristão	8741
Partido Democrático Trabalhista	7205
Partido Liberal	7115
Other values (37)	72816

Length

Max length	46
Median length	32
Mean length	21.211402
Min length	4

Characters and Unicode

Total characters	2457150
Distinct characters	44
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Rede Sustentabilidade
2nd row	Rede Sustentabilidade
3rd row	Partido dos Trabalhadores
4th row	Partido dos Trabalhadores
5th row	Partido dos Trabalhadores

Common Values

Value	Count	Frequency (%)
Partido Social Democrático	10400	6.3%
Democratas	9564	5.8%
Partido Social Cristão	8741	5.3%
Partido Democrático Trabalhista	7205	4.3%
Partido Liberal	7115	4.3%
Movimento Democrático Brasileiro	6828	4.1%
PROGRESSISTAS	5854	3.5%
Partido dos Trabalhadores	5119	3.1%
Solidariedade	5035	3.0%
Cidadania	4986	3.0%
Other values (32)	44994	27.1%
(Missing)	50202	30.2%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
partido	68172	24.3%
social	27622	9.9%
democrático	24433	8.7%
brasileiro	15088	5.4%
trabalhista	13074	4.7%
liberal	10790	3.9%
cristão	9664	3.4%
democratas	9564	3.4%
da	9396	3.4%
progressistas	6838	2.4%
Other values (41)	85534	30.5%

Most occurring characters

Value	Count	Frequency (%)
a	284810	11.6%
i	260597	10.6%
o	244089	9.9%
r	216386	8.8%
	164334	6.7%
t	146688	6.0%
d	132063	5.4%
e	122921	5.0%
c	108407	4.4%
l	98707	4.0%
Other values (34)	678148	27.6%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	1898048	77.2%
Uppercase Letter	394768	16.1%
Space Separator	164334	6.7%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	284810	15.0%
i	260597	13.7%
o	244089	12.9%
r	216386	11.4%
t	146688	7.7%
d	132063	7.0%
e	122921	6.5%
c	108407	5.7%
l	98707	5.2%
s	82152	4.3%
Other values (14)	201228	10.6%

Uppercase Letter

Value	Count	Frequency (%)
P	84400	21.4%
S	67994	17.2%
D	39602	10.0%
B	26447	6.7%
T	25566	6.5%
R	24733	6.3%
C	23280	5.9%
L	18958	4.8%
A	14003	3.5%
O	12855	3.3%
Other values (9)	56930	14.4%

Space Separator

Value	Count	Frequency (%)
	164334	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	2292816	93.3%
Common	164334	6.7%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	284810	12.4%
i	260597	11.4%
o	244089	10.6%
r	216386	9.4%
t	146688	6.4%
d	132063	5.8%
e	122921	5.4%
c	108407	4.7%
l	98707	4.3%
P	84400	3.7%
Other values (33)	593748	25.9%

Common

Value	Count	Frequency (%)
	164334	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2416346	98.3%
None	40804	1.7%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	284810	11.8%
i	260597	10.8%
o	244089	10.1%
r	216386	9.0%
	164334	6.8%
t	146688	6.1%
d	132063	5.5%
e	122921	5.1%
c	108407	4.5%
l	98707	4.1%
Other values (29)	637344	26.4%

None

Value	Count	Frequency (%)
á	24659	60.4%
ã	13242	32.5%
ú	1237	3.0%
ç	1059	2.6%
Ã	607	1.5%

NR_RECIBO_DOACAO
Categorical

HIGH CARDINALITY
MISSING
UNIFORM

Distinct	93722
Distinct (%)	92.3%
Missing	64522
Missing (%)	38.9%
Memory size	10.0 MiB

000551158041RJ000030E	15
000551158041RJ000031E	15
065650600000RJ000102E	14
402751358777RJ000001E	13
000551158041RJ000028E	12
Other values (93717)	101452

Length

Max length	21
Median length	21
Mean length	21
Min length	21

Characters and Unicode

Total characters	2131941
Distinct characters	21
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	88492 ?
Unique (%)	87.2%

Sample

1st row	444440700000RJ000007E
2nd row	444440700000RJ000003E
3rd row	444440700000RJ000004E
4th row	444440700000RJ000006E
5th row	444440700000RJ000005E

Common Values

Value	Count	Frequency (%)
000551158041RJ000030E	15	< 0.1%
000551158041RJ000031E	15	< 0.1%
065650600000RJ000102E	14	< 0.1%
402751358777RJ000001E	13	< 0.1%
000551158041RJ000028E	12	< 0.1%
000201158572RJ000002E	12	< 0.1%
000551158041RJ000027E	12	< 0.1%
000551158041RJ000024E	12	< 0.1%
000551158041RJ000025E	12	< 0.1%
000551158041RJ000023E	12	< 0.1%
Other values (93712)	101392	61.1%
(Missing)	64522	38.9%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
000551158041rj000030e	15	< 0.1%
000551158041rj000031e	15	< 0.1%
065650600000rj000102e	14	< 0.1%
402751358777rj000001e	13	< 0.1%
000551158041rj000028e	12	< 0.1%
000201158572rj000002e	12	< 0.1%
000551158041rj000027e	12	< 0.1%
000551158041rj000024e	12	< 0.1%
000551158041rj000025e	12	< 0.1%
000551158041rj000023e	12	< 0.1%
Other values (93712)	101392	99.9%

Most occurring characters

Value	Count	Frequency (%)
0	812135	38.1%
1	239037	11.2%
3	156711	7.4%
5	155649	7.3%
2	108051	5.1%
E	101521	4.8%
R	101478	4.8%
J	101473	4.8%
7	93702	4.4%
8	89399	4.2%
Other values (11)	172785	8.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1827378	85.7%
Uppercase Letter	304495	14.3%
Lowercase Letter	68	< 0.1%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	812135	44.4%
1	239037	13.1%
3	156711	8.6%
5	155649	8.5%
2	108051	5.9%
7	93702	5.1%
8	89399	4.9%
6	63836	3.5%
4	57001	3.1%
9	51857	2.8%

Uppercase Letter

Value	Count	Frequency (%)
E	101521	33.3%
R	101478	33.3%
J	101473	33.3%
A	7	< 0.1%
N	5	< 0.1%
C	5	< 0.1%
M	2	< 0.1%
G	2	< 0.1%
P	2	< 0.1%

Lowercase Letter

Value	Count	Frequency (%)
r	34	50.0%
j	34	50.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	1827378	85.7%
Latin	304563	14.3%

Most frequent character per script

Latin

Value	Count	Frequency (%)
E	101521	33.3%
R	101478	33.3%
J	101473	33.3%
r	34	< 0.1%
j	34	< 0.1%
A	7	< 0.1%
N	5	< 0.1%
C	5	< 0.1%
M	2	< 0.1%
G	2	< 0.1%

Common

Value	Count	Frequency (%)
0	812135	44.4%
1	239037	13.1%
3	156711	8.6%
5	155649	8.5%
2	108051	5.9%
7	93702	5.1%
8	89399	4.9%
6	63836	3.5%
4	57001	3.1%
9	51857	2.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2131941	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	812135	38.1%
1	239037	11.2%
3	156711	7.4%
5	155649	7.3%
2	108051	5.1%
E	101521	4.8%
R	101478	4.8%
J	101473	4.8%
7	93702	4.4%
8	89399	4.2%
Other values (11)	172785	8.1%

NR_DOCUMENTO_DOACAO
Categorical

HIGH CARDINALITY
MISSING

Distinct	36402
Distinct (%)	59.6%
Missing	104954
Missing (%)	63.2%
Memory size	7.8 MiB

SN	2702
1	994
01	723
001	701
0001	648
Other values (36397)	55321

Length

Max length	32
Median length	25
Mean length	7.7449295
Min length	1

Characters and Unicode

Total characters	473130
Distinct characters	51
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	31645 ?
Unique (%)	51.8%

Sample

1st row	4492717
2nd row	1151559
3rd row	1156105
4th row	1220428
5th row	1201250

Common Values

Value	Count	Frequency (%)
SN	2702	1.6%
1	994	0.6%
01	723	0.4%
001	701	0.4%
0001	648	0.4%
000001	632	0.4%
TED	435	0.3%
00001	342	0.2%
000341	268	0.2%
4175	255	0.2%
Other values (36392)	53389	32.2%
(Missing)	104954	63.2%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
sn	2707	4.4%
1	994	1.6%
01	723	1.2%
001	701	1.1%
0001	648	1.1%
000001	632	1.0%
ted	435	0.7%
00001	342	0.6%
000341	268	0.4%
4175	255	0.4%
Other values (36233)	53387	87.4%

Most occurring characters

Value	Count	Frequency (%)
0	105489	22.3%
1	55188	11.7%
2	40473	8.6%
5	37145	7.9%
3	36048	7.6%
7	34698	7.3%
4	34185	7.2%
8	31545	6.7%
6	31226	6.6%
9	31075	6.6%
Other values (41)	36058	7.6%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	437072	92.4%
Uppercase Letter	35315	7.5%
Space Separator	583	0.1%
Other Punctuation	126	< 0.1%
Lowercase Letter	34	< 0.1%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
E	4350	12.3%
D	3911	11.1%
N	3549	10.0%
B	3481	9.9%
A	3453	9.8%
S	3409	9.7%
C	3042	8.6%
F	2865	8.1%
T	1896	5.4%
I	916	2.6%
Other values (16)	4443	12.6%

Lowercase Letter

Value	Count	Frequency (%)
c	6	17.6%
n	5	14.7%
s	5	14.7%
a	3	8.8%
e	3	8.8%
b	3	8.8%
f	2	5.9%
o	2	5.9%
u	1	2.9%
g	1	2.9%
Other values (3)	3	8.8%

Decimal Number

Value	Count	Frequency (%)
0	105489	24.1%
1	55188	12.6%
2	40473	9.3%
5	37145	8.5%
3	36048	8.2%
7	34698	7.9%
4	34185	7.8%
8	31545	7.2%
6	31226	7.1%
9	31075	7.1%

Space Separator

Value	Count	Frequency (%)
	583	100.0%

Other Punctuation

Value	Count	Frequency (%)
.	126	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	437781	92.5%
Latin	35349	7.5%

Most frequent character per script

Latin

Value	Count	Frequency (%)
E	4350	12.3%
D	3911	11.1%
N	3549	10.0%
B	3481	9.8%
A	3453	9.8%
S	3409	9.6%
C	3042	8.6%
F	2865	8.1%
T	1896	5.4%
I	916	2.6%
Other values (29)	4477	12.7%

Common

Value	Count	Frequency (%)
0	105489	24.1%
1	55188	12.6%
2	40473	9.2%
5	37145	8.5%
3	36048	8.2%
7	34698	7.9%
4	34185	7.8%
8	31545	7.2%
6	31226	7.1%
9	31075	7.1%
Other values (2)	709	0.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	473130	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	105489	22.3%
1	55188	11.7%
2	40473	8.6%
5	37145	7.9%
3	36048	7.6%
7	34698	7.3%
4	34185	7.2%
8	31545	6.7%
6	31226	6.6%
9	31075	6.6%
Other values (41)	36058	7.6%

SQ_RECEITA
Real number (ℝ)

Distinct	155587
Distinct (%)	93.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	18746224

Minimum	10656486
Maximum	32314862
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.4 MiB

Quantile statistics

Minimum	10656486
5-th percentile	12053796
Q1	17159154
median	18755862
Q3	19794370
95-th percentile	29386437
Maximum	32314862
Range	21658376
Interquartile range (IQR)	2635216

Descriptive statistics

Standard deviation	4799477.5
Coefficient of variation (CV)	0.25602369
Kurtosis	0.78661422
Mean	18746224
Median Absolute Deviation (MAD)	1184234
Skewness	0.8428646
Sum	3.1126793 × 10¹²
Variance	2.3034985 × 10¹³
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
28873326	32	< 0.1%
12311666	31	< 0.1%
12454140	18	< 0.1%
18958514	15	< 0.1%
19644306	15	< 0.1%
18958513	15	< 0.1%
19685039	15	< 0.1%
19644305	15	< 0.1%
30251995	14	< 0.1%
12319050	14	< 0.1%
Other values (155577)	165859	99.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
10656486	1	< 0.1%
10656487	1	< 0.1%
10661816	1	< 0.1%
10669283	1	< 0.1%
10669284	1	< 0.1%
10678535	1	< 0.1%
10683762	1	< 0.1%
10683763	1	< 0.1%
10691779	1	< 0.1%
10691780	1	< 0.1%

Value	Count	Frequency (%)
32314862	1	< 0.1%
32314861	1	< 0.1%
32307980	1	< 0.1%
32307979	1	< 0.1%
32307978	5	< 0.1%
32307977	1	< 0.1%
32305712	1	< 0.1%
32305711	1	< 0.1%
32305710	1	< 0.1%
32305709	1	< 0.1%

DT_RECEITA
Categorical

Distinct	430
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	10.6 MiB

21/10/2020	6578
13/11/2020	5046
19/10/2020	4245
15/10/2020	3950
20/10/2020	3936
Other values (425)	142288

Length

Max length	10
Median length	10
Mean length	10
Min length	10

Characters and Unicode

Total characters	1660430
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	75 ?
Unique (%)	< 0.1%

Sample

1st row	05/10/2022
2nd row	05/10/2022
3rd row	05/10/2022
4th row	05/10/2022
5th row	05/10/2022

Common Values

Value	Count	Frequency (%)
21/10/2020	6578	4.0%
13/11/2020	5046	3.0%
19/10/2020	4245	2.6%
15/10/2020	3950	2.4%
20/10/2020	3936	2.4%
22/10/2020	3619	2.2%
11/11/2020	3257	2.0%
12/11/2020	3197	1.9%
26/10/2020	3159	1.9%
09/11/2020	3120	1.9%
Other values (420)	125936	75.8%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
21/10/2020	6578	4.0%
13/11/2020	5046	3.0%
19/10/2020	4245	2.6%
15/10/2020	3950	2.4%
20/10/2020	3936	2.4%
22/10/2020	3619	2.2%
11/11/2020	3257	2.0%
12/11/2020	3197	1.9%
26/10/2020	3159	1.9%
09/11/2020	3120	1.9%
Other values (420)	125936	75.8%

Most occurring characters

Value	Count	Frequency (%)
0	473318	28.5%
2	388313	23.4%
/	332086	20.0%
1	265189	16.0%
8	60236	3.6%
9	52445	3.2%
3	26881	1.6%
6	18859	1.1%
5	16931	1.0%
4	13803	0.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1328344	80.0%
Other Punctuation	332086	20.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	473318	35.6%
2	388313	29.2%
1	265189	20.0%
8	60236	4.5%
9	52445	3.9%
3	26881	2.0%
6	18859	1.4%
5	16931	1.3%
4	13803	1.0%
7	12369	0.9%

Other Punctuation

Value	Count	Frequency (%)
/	332086	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	1660430	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	473318	28.5%
2	388313	23.4%
/	332086	20.0%
1	265189	16.0%
8	60236	3.6%
9	52445	3.2%
3	26881	1.6%
6	18859	1.1%
5	16931	1.0%
4	13803	0.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1660430	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	473318	28.5%
2	388313	23.4%
/	332086	20.0%
1	265189	16.0%
8	60236	3.6%
9	52445	3.2%
3	26881	1.6%
6	18859	1.1%
5	16931	1.0%
4	13803	0.8%

DS_RECEITA
Categorical

HIGH CARDINALITY
MISSING

Distinct	38701
Distinct (%)	37.0%
Missing	61517
Missing (%)	37.0%
Memory size	12.4 MiB

SANTINHOS	1469
SANTINHO	971
ADESIVO PERFURADO	694
SERVIÇOS CONTABEIS	579
ADESIVO	482
Other values (38696)	100331

Length

Max length	100
Median length	79
Mean length	33.291688
Min length	1

Characters and Unicode

Total characters	3479847
Distinct characters	75
Distinct categories	12 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	32833 ?
Unique (%)	31.4%

Sample

1st row	DOAÇÃO ESTIMAVEL PAJERO SPORT HPE ANO 2008 - 16/08/22 A 01/10/22
2nd row	DOAÇÃO ESTIMAVEL GOL 1.0 GIV ANO 2011 - 16/08/22 A 31/08/22
3rd row	DOAÇÃO ESTIMAVEL PALIO FIRE FLEX ANO 2018 - 16/08/22 A 01/10/22
4th row	DOAÇÃO ESTIMAVEL FOD ECOSPORT SE AT 1.5 ANO 2018 - 16/08/22 A 31/08/22
5th row	DOAÇÃO ESTIMAVEL FORD MODELO KS SEL 1.5 SD B ANO 2017 - 02/09/22 A 01/10/22

Common Values

Value	Count	Frequency (%)
SANTINHOS	1469	0.9%
SANTINHO	971	0.6%
ADESIVO PERFURADO	694	0.4%
SERVIÇOS CONTABEIS	579	0.3%
ADESIVO	482	0.3%
SERVIÇOS ADVOCATICIOS	454	0.3%
ADESIVOS PERFURADOS	452	0.3%
SERVIÇOS CONTÁBEIS	430	0.3%
PANFLETAGEM	413	0.2%
ADVOGADO	385	0.2%
Other values (38691)	98197	59.1%
(Missing)	61517	37.0%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
de	34898	6.6%
e	14226	2.7%
adesivo	12686	2.4%
	12682	2.4%
santinhos	9171	1.7%
serviços	8912	1.7%
x	8553	1.6%
santinho	8049	1.5%
adesivos	7183	1.4%
cm	6798	1.3%
Other values (21053)	403548	76.6%

Most occurring characters

Value	Count	Frequency (%)
	433070	12.4%
A	315739	9.1%
O	281064	8.1%
E	259449	7.5%
I	213662	6.1%
R	201155	5.8%
S	189280	5.4%
D	155527	4.5%
N	134007	3.9%
C	123160	3.5%
Other values (65)	1173734	33.7%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	2681221	77.0%
Space Separator	433070	12.4%
Decimal Number	296853	8.5%
Other Punctuation	51721	1.5%
Dash Punctuation	13090	0.4%
Math Symbol	1083	< 0.1%
Open Punctuation	1082	< 0.1%
Close Punctuation	1077	< 0.1%
Other Letter	408	< 0.1%
Currency Symbol	136	< 0.1%
Other values (2)	106	< 0.1%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
A	315739	11.8%
O	281064	10.5%
E	259449	9.7%
I	213662	8.0%
R	201155	7.5%
S	189280	7.1%
D	155527	5.8%
N	134007	5.0%
C	123160	4.6%
T	118543	4.4%
Other values (28)	689635	25.7%

Decimal Number

Value	Count	Frequency (%)
0	82761	27.9%
1	46780	15.8%
4	36263	12.2%
5	29496	9.9%
2	21223	7.1%
8	19560	6.6%
9	17504	5.9%
7	16735	5.6%
3	15114	5.1%
6	11417	3.8%

Other Punctuation

Value	Count	Frequency (%)
·	24892	48.1%
/	18849	36.4%
.	7197	13.9%
:	477	0.9%
'	89	0.2%
?	87	0.2%
,	62	0.1%
*	54	0.1%
§	11	< 0.1%
¡	3	< 0.1%

Close Punctuation

Value	Count	Frequency (%)
)	1069	99.3%
]	6	0.6%
}	2	0.2%

Math Symbol

Value	Count	Frequency (%)
+	1015	93.7%
=	63	5.8%
\|	5	0.5%

Currency Symbol

Value	Count	Frequency (%)
$	123	90.4%
£	8	5.9%
¢	5	3.7%

Open Punctuation

Value	Count	Frequency (%)
(	1078	99.6%
[	4	0.4%

Other Letter

Value	Count	Frequency (%)
ª	241	59.1%
º	167	40.9%

Space Separator

Value	Count	Frequency (%)
	433070	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	13090	100.0%

Connector Punctuation

Value	Count	Frequency (%)
_	105	100.0%

Other Number

Value	Count	Frequency (%)
³	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	2681629	77.1%
Common	798218	22.9%

Most frequent character per script

Latin

Value	Count	Frequency (%)
A	315739	11.8%
O	281064	10.5%
E	259449	9.7%
I	213662	8.0%
R	201155	7.5%
S	189280	7.1%
D	155527	5.8%
N	134007	5.0%
C	123160	4.6%
T	118543	4.4%
Other values (30)	690043	25.7%

Common

Value	Count	Frequency (%)
	433070	54.3%
0	82761	10.4%
1	46780	5.9%
4	36263	4.5%
5	29496	3.7%
·	24892	3.1%
2	21223	2.7%
8	19560	2.5%
/	18849	2.4%
9	17504	2.2%
Other values (25)	67820	8.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3375410	97.0%
None	104437	3.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	433070	12.8%
A	315739	9.4%
O	281064	8.3%
E	259449	7.7%
I	213662	6.3%
R	201155	6.0%
S	189280	5.6%
D	155527	4.6%
N	134007	4.0%
C	123160	3.6%
Other values (45)	1069297	31.7%

None

Value	Count	Frequency (%)
Ç	33927	32.5%
Ã	29274	28.0%
·	24892	23.8%
Á	4738	4.5%
Í	3759	3.6%
Õ	2409	2.3%
Ê	1859	1.8%
É	1132	1.1%
Â	699	0.7%
Ó	678	0.6%
Other values (10)	1070	1.0%

VR_RECEITA
Real number (ℝ)

HIGH CORRELATION
SKEWED

Distinct	8785
Distinct (%)	5.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	5620.9566

Minimum	0.01
Maximum	8834000
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.4 MiB

Quantile statistics

Minimum	0.01
5-th percentile	27.5
Q1	110
median	400
Q3	1200
95-th percentile	11000
Maximum	8834000
Range	8834000
Interquartile range (IQR)	1090

Descriptive statistics

Standard deviation	59527.602
Coefficient of variation (CV)	10.590297
Kurtosis	4444.3226
Mean	5620.9566
Median Absolute Deviation (MAD)	350
Skewness	49.421856
Sum	9.333205 × 10⁸
Variance	3.5435353 × 10⁹
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1000.0	10635	6.4%
500.0	5164	3.1%
300.0	4144	2.5%
100.0	3987	2.4%
200.0	3887	2.3%
5000.0	3283	2.0%
2000.0	3216	1.9%
50.0	2818	1.7%
150.0	2801	1.7%
10000.0	2711	1.6%
Other values (8775)	123397	74.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0.01	26	< 0.1%
0.02	8	< 0.1%
0.03	1	< 0.1%
0.04	4	< 0.1%
0.05	5	< 0.1%
0.06	5	< 0.1%
0.07	1	< 0.1%
0.08	3	< 0.1%
0.09	1	< 0.1%
0.1	7	< 0.1%

Value	Count	Frequency (%)
8834000.0	1	< 0.1%
5000000.0	2	< 0.1%
4000000.0	1	< 0.1%
3500000.0	3	< 0.1%
3000000.0	6	< 0.1%
2650000.0	1	< 0.1%
2600000.0	1	< 0.1%
2550000.0	2	< 0.1%
2500000.0	5	< 0.1%
2000000.0	7	< 0.1%

Auto

The auto setting is an interpretable pairwise column metric of the following mapping:

Variable_type-Variable_type : Method, Range
Categorical-Categorical : Cramer's V, [0,1]
Numerical-Categorical : Cramer's V, [0,1] (using a discretized numerical column)
Numerical-Numerical : Spearman's ρ, [-1,1]

The number of bins used in the discretization for the Numerical-Categorical column pair can be changed using config.correlations["auto"].n_bins. The number of bins affects the granularity of the association you wish to measure.

This configuration uses the recommended metric for each pair of columns.

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

First rows
Last rows

	ANO_ELEICAO	CD_TIPO_ELEICAO	NM_TIPO_ELEICAO	CD_ELEICAO	DS_ELEICAO	DT_ELEICAO	ST_TURNO	TP_PRESTACAO_CONTAS	DT_PRESTACAO_CONTAS	SQ_PRESTADOR_CONTAS	SG_UF	SG_UE	NM_UE	NR_CNPJ_PRESTADOR_CONTA	CD_CARGO	DS_CARGO	SQ_CANDIDATO	NR_CANDIDATO	NM_CANDIDATO	NR_CPF_CANDIDATO	NR_CPF_VICE_CANDIDATO	NR_PARTIDO	SG_PARTIDO	NM_PARTIDO	CD_FONTE_RECEITA	DS_FONTE_RECEITA	CD_ORIGEM_RECEITA	DS_ORIGEM_RECEITA	CD_NATUREZA_RECEITA	DS_NATUREZA_RECEITA	CD_ESPECIE_RECEITA	DS_ESPECIE_RECEITA	CD_CNAE_DOADOR	DS_CNAE_DOADOR	NR_CPF_CNPJ_DOADOR	NM_DOADOR	NM_DOADOR_RFB	CD_ESFERA_PARTIDARIA_DOADOR	DS_ESFERA_PARTIDARIA_DOADOR	SG_UF_DOADOR	CD_MUNICIPIO_DOADOR	NM_MUNICIPIO_DOADOR	SQ_CANDIDATO_DOADOR	NR_CANDIDATO_DOADOR	CD_CARGO_CANDIDATO_DOADOR	DS_CARGO_CANDIDATO_DOADOR	NR_PARTIDO_DOADOR	SG_PARTIDO_DOADOR	NM_PARTIDO_DOADOR	NR_RECIBO_DOACAO	NR_DOCUMENTO_DOACAO	SQ_RECEITA	DT_RECEITA	DS_RECEITA	VR_RECEITA
0	2022	2	ORDINÁRIA	546	Eleições Gerais Estaduais 2022	02/10/2022	1	FINAL	17/11/2022	3786148253	RJ	RJ	RIO DE JANEIRO	47508113000166	7	Deputado Estadual	190001619456	44444	FILIPE BEZERRA RIBEIRO SOARES	5351633710	<NA>	44	UNIÃO	UNIÃO BRASIL	1	OUTROS RECURSOS	10010200	Recursos de pessoas físicas	1	FINANCEIRO	1	Transferência eletrônica	<NA>	<NA>	96918985787.0	ANDRE LUIZ ISSA VIEIRA	ANDRE LUIZ ISSA VIEIRA	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	444440700000RJ000007E	4492717	31098903	05/10/2022	<NA>	10000.0
1	2022	2	ORDINÁRIA	546	Eleições Gerais Estaduais 2022	02/10/2022	1	FINAL	17/11/2022	3786148253	RJ	RJ	RIO DE JANEIRO	47508113000166	7	Deputado Estadual	190001619456	44444	FILIPE BEZERRA RIBEIRO SOARES	5351633710	<NA>	44	UNIÃO	UNIÃO BRASIL	1	OUTROS RECURSOS	10010200	Recursos de pessoas físicas	1	FINANCEIRO	19	PIX	<NA>	<NA>	10645791750.0	ALEX DE PAULA OLIVEIRA	ALEX DE PAULA OLIVEIRA	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	444440700000RJ000003E	1151559	31098899	05/10/2022	<NA>	7000.0
2	2022	2	ORDINÁRIA	546	Eleições Gerais Estaduais 2022	02/10/2022	1	FINAL	17/11/2022	3786148253	RJ	RJ	RIO DE JANEIRO	47508113000166	7	Deputado Estadual	190001619456	44444	FILIPE BEZERRA RIBEIRO SOARES	5351633710	<NA>	44	UNIÃO	UNIÃO BRASIL	1	OUTROS RECURSOS	10010200	Recursos de pessoas físicas	1	FINANCEIRO	19	PIX	<NA>	<NA>	3357425726.0	UBIRAJARA PIMENTEL CANDIDO	UBIRAJARA PIMENTEL CANDIDO	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	444440700000RJ000004E	1156105	31098900	05/10/2022	<NA>	5000.0
3	2022	2	ORDINÁRIA	546	Eleições Gerais Estaduais 2022	02/10/2022	1	FINAL	17/11/2022	3786148253	RJ	RJ	RIO DE JANEIRO	47508113000166	7	Deputado Estadual	190001619456	44444	FILIPE BEZERRA RIBEIRO SOARES	5351633710	<NA>	44	UNIÃO	UNIÃO BRASIL	1	OUTROS RECURSOS	10010200	Recursos de pessoas físicas	1	FINANCEIRO	19	PIX	<NA>	<NA>	2876581710.0	CRISTIANO DE FREITAS NEVES	CRISTIANO DE FREITAS NEVES	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	444440700000RJ000006E	1220428	31098902	05/10/2022	<NA>	12000.0
4	2022	2	ORDINÁRIA	546	Eleições Gerais Estaduais 2022	02/10/2022	1	FINAL	17/11/2022	3786148253	RJ	RJ	RIO DE JANEIRO	47508113000166	7	Deputado Estadual	190001619456	44444	FILIPE BEZERRA RIBEIRO SOARES	5351633710	<NA>	44	UNIÃO	UNIÃO BRASIL	1	OUTROS RECURSOS	10010200	Recursos de pessoas físicas	1	FINANCEIRO	19	PIX	<NA>	<NA>	48288128734.0	FERNANDO NASCENTES PIRES	FERNANDO NASCENTES PIRES	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	444440700000RJ000005E	1201250	31098901	05/10/2022	<NA>	6000.0
5	2022	2	ORDINÁRIA	546	Eleições Gerais Estaduais 2022	02/10/2022	1	FINAL	01/11/2022	3786148444	RJ	RJ	RIO DE JANEIRO	47508109000106	6	Deputado Federal	190001619480	4499	CLEBIO LOPES PEREIRA	5279010758	<NA>	44	UNIÃO	UNIÃO BRASIL	1	OUTROS RECURSOS	10010200	Recursos de pessoas físicas	0	ESTIMÁVEL	2	Estimado	<NA>	<NA>	73394904772.0	GIOVANNA FRANCISCA LOREDANA ANGRILI DOS ANJOS	GIOVANNA FRANCISCA LOREDANA ANGRILLI DOS ANJOS	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	30236055	16/08/2022	DOAÇÃO ESTIMAVEL PAJERO SPORT HPE ANO 2008 - 16/08/22 A 01/10/22	1950.0
6	2022	2	ORDINÁRIA	546	Eleições Gerais Estaduais 2022	02/10/2022	1	FINAL	01/11/2022	3786148444	RJ	RJ	RIO DE JANEIRO	47508109000106	6	Deputado Federal	190001619480	4499	CLEBIO LOPES PEREIRA	5279010758	<NA>	44	UNIÃO	UNIÃO BRASIL	1	OUTROS RECURSOS	10010200	Recursos de pessoas físicas	0	ESTIMÁVEL	2	Estimado	<NA>	<NA>	3314612770.0	TAMIRES DE SOUZA MACENA	TAMIRES DE SOUZA MACENA	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	30236056	16/08/2022	DOAÇÃO ESTIMAVEL GOL 1.0 GIV ANO 2011 - 16/08/22 A 31/08/22	1333.33
7	2022	2	ORDINÁRIA	546	Eleições Gerais Estaduais 2022	02/10/2022	1	FINAL	01/11/2022	3786148444	RJ	RJ	RIO DE JANEIRO	47508109000106	6	Deputado Federal	190001619480	4499	CLEBIO LOPES PEREIRA	5279010758	<NA>	44	UNIÃO	UNIÃO BRASIL	1	OUTROS RECURSOS	10010200	Recursos de pessoas físicas	0	ESTIMÁVEL	2	Estimado	<NA>	<NA>	10581507746.0	ANDRE LUIS DOS SANTOS	ANDRE LUIS DOS SANTOS	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	30236053	16/08/2022	DOAÇÃO ESTIMAVEL PALIO FIRE FLEX ANO 2018 - 16/08/22 A 01/10/22	3750.0
8	2022	2	ORDINÁRIA	546	Eleições Gerais Estaduais 2022	02/10/2022	1	FINAL	01/11/2022	3786148444	RJ	RJ	RIO DE JANEIRO	47508109000106	6	Deputado Federal	190001619480	4499	CLEBIO LOPES PEREIRA	5279010758	<NA>	44	UNIÃO	UNIÃO BRASIL	1	OUTROS RECURSOS	10010200	Recursos de pessoas físicas	0	ESTIMÁVEL	2	Estimado	<NA>	<NA>	10340993707.0	THIAGO DE LIMA ANDRADE	THIAGO DE LIMA ANDRADE	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	30236058	16/08/2022	DOAÇÃO ESTIMAVEL FOD ECOSPORT SE AT 1.5 ANO 2018 - 16/08/22 A 31/08/22	693.33
9	2022	2	ORDINÁRIA	546	Eleições Gerais Estaduais 2022	02/10/2022	1	FINAL	01/11/2022	3786148444	RJ	RJ	RIO DE JANEIRO	47508109000106	6	Deputado Federal	190001619480	4499	CLEBIO LOPES PEREIRA	5279010758	<NA>	44	UNIÃO	UNIÃO BRASIL	1	OUTROS RECURSOS	10010200	Recursos de pessoas físicas	0	ESTIMÁVEL	2	Estimado	<NA>	<NA>	1628288701.0	THAIS MARZANO RODRIGUES EMMEL ROSA	THAIS MARZANO DE BARROS RODRIGUES EMMEL ROSA DE AGUIAR	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	30236057	02/09/2022	DOAÇÃO ESTIMAVEL FORD MODELO KS SEL 1.5 SD B ANO 2017 - 02/09/22 A 01/10/22	1300.0

	ANO_ELEICAO	CD_TIPO_ELEICAO	NM_TIPO_ELEICAO	CD_ELEICAO	DS_ELEICAO	DT_ELEICAO	ST_TURNO	TP_PRESTACAO_CONTAS	DT_PRESTACAO_CONTAS	SQ_PRESTADOR_CONTAS	SG_UF	SG_UE	NM_UE	NR_CNPJ_PRESTADOR_CONTA	CD_CARGO	DS_CARGO	SQ_CANDIDATO	NR_CANDIDATO	NM_CANDIDATO	NR_CPF_CANDIDATO	NR_CPF_VICE_CANDIDATO	NR_PARTIDO	SG_PARTIDO	NM_PARTIDO	CD_FONTE_RECEITA	DS_FONTE_RECEITA	CD_ORIGEM_RECEITA	DS_ORIGEM_RECEITA	CD_NATUREZA_RECEITA	DS_NATUREZA_RECEITA	CD_ESPECIE_RECEITA	DS_ESPECIE_RECEITA	CD_CNAE_DOADOR	DS_CNAE_DOADOR	NR_CPF_CNPJ_DOADOR	NM_DOADOR	NM_DOADOR_RFB	CD_ESFERA_PARTIDARIA_DOADOR	DS_ESFERA_PARTIDARIA_DOADOR	SG_UF_DOADOR	CD_MUNICIPIO_DOADOR	NM_MUNICIPIO_DOADOR	SQ_CANDIDATO_DOADOR	NR_CANDIDATO_DOADOR	CD_CARGO_CANDIDATO_DOADOR	DS_CARGO_CANDIDATO_DOADOR	NR_PARTIDO_DOADOR	SG_PARTIDO_DOADOR	NM_PARTIDO_DOADOR	NR_RECIBO_DOACAO	NR_DOCUMENTO_DOACAO	SQ_RECEITA	DT_RECEITA	DS_RECEITA	VR_RECEITA
166033	2018	2	ORDINÁRIA	297	Eleições Gerais Estaduais 2018	07/10/2018	1	FINAL	24/05/2019	422500109	RJ	RJ	RIO DE JANEIRO	31208471000113	7	Deputado Estadual	190000611471	90453	MONIQUE NUNES ELIAS BRASILEIRO ROCHA	8458777711	<NA>	90	PROS	Partido Republicano da Ordem Social	0	FUNDO PARTIDARIO	10040000	Recursos de outros candidatos	1	FINANCEIRO	1	Transferência eletrônica	94928	Atividades de organizações políticas	31192740000109.0	FELIPE LEONE BORNIER	ELEICAO 2018 FELIPE LEONE BORNIER DE OLIVEIRA DEPUTADO FEDERAL	<NA>	<NA>	RJ	<NA>	<NA>	190000607872.0	9090	6	Deputado Federal	90	PROS	Partido Republicano da Ordem Social	<NA>	00316015	12467211	25/09/2018	<NA>	5000.0
166034	2018	2	ORDINÁRIA	297	Eleições Gerais Estaduais 2018	07/10/2018	1	FINAL	24/05/2019	422500109	RJ	RJ	RIO DE JANEIRO	31208471000113	7	Deputado Estadual	190000611471	90453	MONIQUE NUNES ELIAS BRASILEIRO ROCHA	8458777711	<NA>	90	PROS	Partido Republicano da Ordem Social	2	FUNDO ESPECIAL	10040000	Recursos de outros candidatos	1	FINANCEIRO	1	Transferência eletrônica	94928	Atividades de organizações políticas	31192948000110.0	NELSON ROBERTO BORNIER	ELEICAO 2018 NELSON ROBERTO BORNIER DE OLIVEIRA DEPUTADO FEDERAL	<NA>	<NA>	RJ	<NA>	<NA>	190000607877.0	9000	6	Deputado Federal	90	PROS	Partido Republicano da Ordem Social	<NA>	004744	12467207	06/09/2018	<NA>	5000.0
166035	2018	2	ORDINÁRIA	297	Eleições Gerais Estaduais 2018	07/10/2018	1	FINAL	24/05/2019	422500109	RJ	RJ	RIO DE JANEIRO	31208471000113	7	Deputado Estadual	190000611471	90453	MONIQUE NUNES ELIAS BRASILEIRO ROCHA	8458777711	<NA>	90	PROS	Partido Republicano da Ordem Social	1	OUTROS RECURSOS	10040000	Recursos de outros candidatos	0	ESTIMÁVEL	2	Estimado	94928	Atividades de organizações políticas	31208533000197.0	ELEIÇÕES 2018 WILSON JOSE WITZEL	ELEICAO 2018 WILSON JOSE WITZEL GOVERNADOR	<NA>	<NA>	RJ	<NA>	<NA>	190000612301.0	20	3	Governador	20	PSC	Partido Social Cristão	<NA>	<NA>	12467213	18/08/2018	CARDS ELEIÇÕES 2018· WILSON JOSE WITZEL + MONIQUE CONES +.NELSON BORNIER	291.66
166036	2018	2	ORDINÁRIA	297	Eleições Gerais Estaduais 2018	07/10/2018	1	FINAL	24/05/2019	422500109	RJ	RJ	RIO DE JANEIRO	31208471000113	7	Deputado Estadual	190000611471	90453	MONIQUE NUNES ELIAS BRASILEIRO ROCHA	8458777711	<NA>	90	PROS	Partido Republicano da Ordem Social	1	OUTROS RECURSOS	10040000	Recursos de outros candidatos	0	ESTIMÁVEL	2	Estimado	94928	Atividades de organizações políticas	31208588000105.0	AMANDA SIQUEIRA NOVAES	ELEICAO 2018 AMANDA SIQUEIRA NOVAES DEPUTADO ESTADUAL	<NA>	<NA>	RJ	<NA>	<NA>	190000611513.0	90021	7	Deputado Estadual	90	PROS	Partido Republicano da Ordem Social	<NA>	<NA>	12467212	04/10/2018	BANDEIRINHAS	2800.0
166037	2018	2	ORDINÁRIA	297	Eleições Gerais Estaduais 2018	07/10/2018	1	FINAL	24/05/2019	422500109	RJ	RJ	RIO DE JANEIRO	31208471000113	7	Deputado Estadual	190000611471	90453	MONIQUE NUNES ELIAS BRASILEIRO ROCHA	8458777711	<NA>	90	PROS	Partido Republicano da Ordem Social	1	OUTROS RECURSOS	10040000	Recursos de outros candidatos	0	ESTIMÁVEL	2	Estimado	94928	Atividades de organizações políticas	31208588000105.0	AMANDA SIQUEIRA NOVAES	ELEICAO 2018 AMANDA SIQUEIRA NOVAES DEPUTADO ESTADUAL	<NA>	<NA>	RJ	<NA>	<NA>	190000611513.0	90021	7	Deputado Estadual	90	PROS	Partido Republicano da Ordem Social	<NA>	<NA>	12467212	04/10/2018	SANTINHOS	2800.0
166038	2018	2	ORDINÁRIA	297	Eleições Gerais Estaduais 2018	07/10/2018	1	FINAL	24/05/2019	422500109	RJ	RJ	RIO DE JANEIRO	31208471000113	7	Deputado Estadual	190000611471	90453	MONIQUE NUNES ELIAS BRASILEIRO ROCHA	8458777711	<NA>	90	PROS	Partido Republicano da Ordem Social	1	OUTROS RECURSOS	10040000	Recursos de outros candidatos	0	ESTIMÁVEL	2	Estimado	94928	Atividades de organizações políticas	31208533000197.0	ELEIÇÕES 2018 WILSON JOSE WITZEL	ELEICAO 2018 WILSON JOSE WITZEL GOVERNADOR	<NA>	<NA>	RJ	<NA>	<NA>	190000612301.0	20	3	Governador	20	PSC	Partido Social Cristão	<NA>	<NA>	12467208	17/08/2018	ADESIVOS MICROPERFURADOS 0.8X40M ELEIÇÃO 2018 WILSON JOSE WITZEL + MONIQUE CONES + NELSON BORNIER	150.0
166039	2018	2	ORDINÁRIA	297	Eleições Gerais Estaduais 2018	07/10/2018	1	FINAL	24/05/2019	422500109	RJ	RJ	RIO DE JANEIRO	31208471000113	7	Deputado Estadual	190000611471	90453	MONIQUE NUNES ELIAS BRASILEIRO ROCHA	8458777711	<NA>	90	PROS	Partido Republicano da Ordem Social	2	FUNDO ESPECIAL	10040000	Recursos de outros candidatos	1	FINANCEIRO	1	Transferência eletrônica	94928	Atividades de organizações políticas	31192948000110.0	NELSON ROBERTO BORNIER	ELEICAO 2018 NELSON ROBERTO BORNIER DE OLIVEIRA DEPUTADO FEDERAL	<NA>	<NA>	RJ	<NA>	<NA>	190000607877.0	9000	6	Deputado Federal	90	PROS	Partido Republicano da Ordem Social	<NA>	004755	12467209	14/09/2018	<NA>	5000.0
166040	2018	2	ORDINÁRIA	297	Eleições Gerais Estaduais 2018	07/10/2018	1	FINAL	24/05/2019	422500109	RJ	RJ	RIO DE JANEIRO	31208471000113	7	Deputado Estadual	190000611471	90453	MONIQUE NUNES ELIAS BRASILEIRO ROCHA	8458777711	<NA>	90	PROS	Partido Republicano da Ordem Social	2	FUNDO ESPECIAL	10040000	Recursos de outros candidatos	1	FINANCEIRO	1	Transferência eletrônica	94928	Atividades de organizações políticas	31192948000110.0	NELSON ROBERTO BORNIER	ELEICAO 2018 NELSON ROBERTO BORNIER DE OLIVEIRA DEPUTADO FEDERAL	<NA>	<NA>	RJ	<NA>	<NA>	190000607877.0	9000	6	Deputado Federal	90	PROS	Partido Republicano da Ordem Social	<NA>	004755	12467206	28/08/2018	<NA>	5000.0
166041	2018	2	ORDINÁRIA	297	Eleições Gerais Estaduais 2018	07/10/2018	1	FINAL	24/05/2019	422500109	RJ	RJ	RIO DE JANEIRO	31208471000113	7	Deputado Estadual	190000611471	90453	MONIQUE NUNES ELIAS BRASILEIRO ROCHA	8458777711	<NA>	90	PROS	Partido Republicano da Ordem Social	2	FUNDO ESPECIAL	10040000	Recursos de outros candidatos	1	FINANCEIRO	1	Transferência eletrônica	94928	Atividades de organizações políticas	31335036000150.0	MARCELE RABELLO MACHADO	ELEICAO 2018 MARCELE REBELLO MACHADO DEPUTADO ESTADUAL	<NA>	<NA>	RJ	<NA>	<NA>	190000611516.0	90031	7	Deputado Estadual	90	PROS	Partido Republicano da Ordem Social	<NA>	DOC	12467210	21/09/2018	<NA>	5000.0
166042	2018	2	ORDINÁRIA	297	Eleições Gerais Estaduais 2018	07/10/2018	1	FINAL	10/12/2018	422500133	RJ	RJ	RIO DE JANEIRO	31209242000113	7	Deputado Estadual	190000611478	90126	MARIA LUIZA OLIVEIRA DOS SANTOS	34645489704	<NA>	90	PROS	Partido Republicano da Ordem Social	1	OUTROS RECURSOS	10040000	Recursos de outros candidatos	0	ESTIMÁVEL	2	Estimado	94928	Atividades de organizações políticas	31208533000197.0	ELEIÇÃO 2018 WILSON JOSE WITZEL	ELEICAO 2018 WILSON JOSE WITZEL GOVERNADOR	<NA>	<NA>	RJ	<NA>	<NA>	190000612301.0	20	3	Governador	20	PSC	Partido Social Cristão	<NA>	<NA>	12384330	06/09/2018	CARDS 4/4 5·7X8·6CM WILSON GOV + DEP EST MARIA LUIZ + DEP FEDERAL FELIPE BORNIER	291.66

Most frequently occurring

	ANO_ELEICAO	CD_TIPO_ELEICAO	NM_TIPO_ELEICAO	CD_ELEICAO	DS_ELEICAO	DT_ELEICAO	ST_TURNO	TP_PRESTACAO_CONTAS	DT_PRESTACAO_CONTAS	SQ_PRESTADOR_CONTAS	SG_UF	NM_UE	NR_CNPJ_PRESTADOR_CONTA	CD_CARGO	DS_CARGO	SQ_CANDIDATO	NR_CANDIDATO	NM_CANDIDATO	NR_CPF_CANDIDATO	NR_CPF_VICE_CANDIDATO	NR_PARTIDO	SG_PARTIDO	NM_PARTIDO	CD_FONTE_RECEITA	DS_FONTE_RECEITA	CD_ORIGEM_RECEITA	DS_ORIGEM_RECEITA	DS_NATUREZA_RECEITA	CD_ESPECIE_RECEITA	DS_ESPECIE_RECEITA	CD_CNAE_DOADOR	DS_CNAE_DOADOR	NR_CPF_CNPJ_DOADOR	NM_DOADOR	NM_DOADOR_RFB	CD_ESFERA_PARTIDARIA_DOADOR	DS_ESFERA_PARTIDARIA_DOADOR	SG_UF_DOADOR	CD_MUNICIPIO_DOADOR	NM_MUNICIPIO_DOADOR	SQ_CANDIDATO_DOADOR	NR_CANDIDATO_DOADOR	CD_CARGO_CANDIDATO_DOADOR	DS_CARGO_CANDIDATO_DOADOR	NR_PARTIDO_DOADOR	SG_PARTIDO_DOADOR	NM_PARTIDO_DOADOR	NR_RECIBO_DOACAO	NR_DOCUMENTO_DOACAO	SQ_RECEITA	DT_RECEITA	DS_RECEITA	VR_RECEITA	# duplicates
13	2020	2	ORDINÁRIA	426	Eleições Municipais 2020	15/11/2020	1	FINAL	01/02/2021	1846998437	RJ	JAPERI	39084583000111	13	Vereador	190001070053	12000	ROGERIO GOMES CASTRO	12224171706	<NA>	12	PDT	Partido Democrático Trabalhista	2	FUNDO ESPECIAL	10040000	Recursos de outros candidatos	ESTIMÁVEL	2	Estimado	94928	Atividades de organizações políticas	38759256000150.0	FERNANDA MACHADO ONTIVEROS	ELEICAO 2020 FERNANDA MACHADO ONTIVEROS PREFEITO	<NA>	<NA>	RJ	58149	JAPERI	190000865516.0	12	11	Prefeito	12	PDT	Partido Democrático Trabalhista	120001358149RJ000013E	<NA>	19671880	08/10/2020	ADESIVO PERFURADO 80X40	153.07	9
44	2020	2	ORDINÁRIA	426	Eleições Municipais 2020	15/11/2020	1	FINAL	10/12/2020	1844151395	RJ	MIGUEL PEREIRA	38772881000131	13	Vereador	190000873164	11999	VALDECIR BITTENCOURT	78856221772	<NA>	11	PP	PROGRESSISTAS	1	OUTROS RECURSOS	10020000	Recursos de partido político	ESTIMÁVEL	2	Estimado	94928	Atividades de organizações políticas	14099651000195.0	Direção Municipal/Comissão Provisória	COMISSAO MUNICIPAL PROVISORIA DO PSC EM MIGUEL PEREIRA	M	Municipal	RJ	58572	MIGUEL PEREIRA	<NA>	<NA>	<NA>	<NA>	20	PSC	Partido Social Cristão	119991358572RJ000005E	<NA>	17843180	11/11/2020	ADESIVO PERFURADO 80X40 CM	85.0	6
110	2022	2	ORDINÁRIA	546	Eleições Gerais Estaduais 2022	02/10/2022	1	FINAL	01/11/2022	3807077096	RJ	RIO DE JANEIRO	47578741000118	7	Deputado Estadual	190001723112	35776	KAREN CRISTINA SILVA BERNARDO INACIO	4760666702	<NA>	35	PMB	Partido da Mulher Brasileira	2	FUNDO ESPECIAL	10020000	Recursos de partido político	ESTIMÁVEL	2	Estimado	94928	Atividades de organizações políticas	23628747000194.0	Direção Estadual/Distrital	COMISSAO PROVISORIA ESTADUAL DO PARTIDO DA MULHER BRASILEIRA - RJ	F	Federal (Estadual/Distrital)	RJ	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	35	PMB	Partido da Mulher Brasileira	<NA>	<NA>	30233477	15/09/2022	PUBLICIDADE MATERIAL IMPRESSO SANTINHOS	202.5	5
64	2020	2	ORDINÁRIA	426	Eleições Municipais 2020	15/11/2020	1	FINAL	14/12/2020	1817706287	RJ	TERESÓPOLIS	38451045000155	13	Vereador	190000636091	27111	ROCSILVAN RESENDE DA ROCHA	914619799	<NA>	27	DC	Democracia Cristã	2	FUNDO ESPECIAL	10020000	Recursos de partido político	ESTIMÁVEL	2	Estimado	94928	Atividades de organizações políticas	15431473000110.0	Direção Municipal/Comissão Provisória	PARTIDO SOCIAL DEMOCRATA CRISTAO - PSDC	M	Municipal	RJ	59153	TERESÓPOLIS	<NA>	<NA>	<NA>	<NA>	27	DC	Democracia Cristã	271111359153RJ000001E	<NA>	18414405	04/11/2020	MILHEIRO CARTÃO DE VISITA	950.0	4
66	2020	2	ORDINÁRIA	426	Eleições Municipais 2020	15/11/2020	1	FINAL	14/12/2020	1817706287	RJ	TERESÓPOLIS	38451045000155	13	Vereador	190000636091	27111	ROCSILVAN RESENDE DA ROCHA	914619799	<NA>	27	DC	Democracia Cristã	2	FUNDO ESPECIAL	10020000	Recursos de partido político	ESTIMÁVEL	2	Estimado	94928	Atividades de organizações políticas	15431473000110.0	Direção Municipal/Comissão Provisória	PARTIDO SOCIAL DEMOCRATA CRISTAO - PSDC	M	Municipal	RJ	59153	TERESÓPOLIS	<NA>	<NA>	<NA>	<NA>	27	DC	Democracia Cristã	271111359153RJ000001E	<NA>	18414405	04/11/2020	MILHEIRO SANTINHO	300.0	4
96	2020	2	ORDINÁRIA	426	Eleições Municipais 2020	15/11/2020	1	FINAL	19/05/2021	1846998199	RJ	JAPERI	38977938000139	13	Vereador	190001070048	12180	CARLOS JESUS ONTIVEROS GUARDIA	18396364753	<NA>	12	PDT	Partido Democrático Trabalhista	2	FUNDO ESPECIAL	10040000	Recursos de outros candidatos	ESTIMÁVEL	2	Estimado	94928	Atividades de organizações políticas	38759256000150.0	FERNANDA MACHADO ONTIVEROS	ELEICAO 2020 FERNANDA MACHADO ONTIVEROS PREFEITO	<NA>	<NA>	RJ	58149	JAPERI	190000865516.0	12	11	Prefeito	12	PDT	Partido Democrático Trabalhista	121801358149RJ000005E	<NA>	19883234	08/10/2020	ADESIVO PERFURADO 80X40	153.07	4
112	2022	2	ORDINÁRIA	546	Eleições Gerais Estaduais 2022	02/10/2022	1	FINAL	01/11/2022	3808247603	RJ	RIO DE JANEIRO	47582480000100	6	Deputado Federal	190001723553	3545	RUDSON VELASQUES GOMES	7187585799	<NA>	35	PMB	Partido da Mulher Brasileira	2	FUNDO ESPECIAL	10020000	Recursos de partido político	ESTIMÁVEL	2	Estimado	94928	Atividades de organizações políticas	23628747000194.0	Direção Estadual/Distrital	COMISSAO PROVISORIA ESTADUAL DO PARTIDO DA MULHER BRASILEIRA - RJ	F	Federal (Estadual/Distrital)	RJ	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	35	PMB	Partido da Mulher Brasileira	<NA>	<NA>	30231655	15/09/2022	PUBLICIDADE MATERIAL IMPRESSO SANTINHOS	202.5	4
116	2022	2	ORDINÁRIA	546	Eleições Gerais Estaduais 2022	02/10/2022	1	FINAL	01/11/2022	3808248307	RJ	RIO DE JANEIRO	47582491000190	6	Deputado Federal	190001723533	3552	DEBORA OLIVEIRA DE MELO RICIO	9140322750	<NA>	35	PMB	Partido da Mulher Brasileira	2	FUNDO ESPECIAL	10020000	Recursos de partido político	ESTIMÁVEL	2	Estimado	94928	Atividades de organizações políticas	23628747000194.0	Direção Estadual/Distrital	COMISSAO PROVISORIA ESTADUAL DO PARTIDO DA MULHER BRASILEIRA - RJ	F	Federal (Estadual/Distrital)	RJ	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	35	PMB	Partido da Mulher Brasileira	<NA>	<NA>	30231809	15/09/2022	PUBLICIDADE MATERIAL IMPRESSO SANTINHOS	202.5	4
119	2022	2	ORDINÁRIA	546	Eleições Gerais Estaduais 2022	02/10/2022	1	FINAL	03/11/2022	3778708606	RJ	RIO DE JANEIRO	47464444000141	6	Deputado Federal	190001609739	7000	SULAMITA DO CARMO DA SILVA	48967068700	<NA>	70	AVANTE	AVANTE	0	FUNDO PARTIDARIO	10020000	Recursos de partido político	ESTIMÁVEL	2	Estimado	94928	Atividades de organizações políticas	3917554000146.0	Direção Municipal/Comissão Provisória	AVANTE - RIO DE JANEIRO - RJ - MUNICIPAL	M	Municipal	RJ	60011	RIO DE JANEIRO	<NA>	<NA>	<NA>	<NA>	70	AVANTE	AVANTE	<NA>	<NA>	30251995	29/09/2022	ADESIVO LEITOSO 40X15	350.0	4
120	2022	2	ORDINÁRIA	546	Eleições Gerais Estaduais 2022	02/10/2022	1	FINAL	03/11/2022	3778708606	RJ	RIO DE JANEIRO	47464444000141	6	Deputado Federal	190001609739	7000	SULAMITA DO CARMO DA SILVA	48967068700	<NA>	70	AVANTE	AVANTE	0	FUNDO PARTIDARIO	10020000	Recursos de partido político	ESTIMÁVEL	2	Estimado	94928	Atividades de organizações políticas	3917554000146.0	Direção Municipal/Comissão Provisória	AVANTE - RIO DE JANEIRO - RJ - MUNICIPAL	M	Municipal	RJ	60011	RIO DE JANEIRO	<NA>	<NA>	<NA>	<NA>	70	AVANTE	AVANTE	<NA>	<NA>	30251995	29/09/2022	ADESIVO PERFURADO 40X22	125.0	4

Overview

Variables

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Uppercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block

ASCII

None

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Decimal Number

Space Separator

Dash Punctuation

Other Punctuation

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

None

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Other Punctuation

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters